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Background: Δ 9 -tetrahydrocannabinol (THC), the primary intoxicating compound in cannabis, has been tested extensively in controlled administration human studies. Some studies require a high THC dose that may induce adverse events (AEs), such as those testing novel treatments for cannabinoid overdose. Although there are ethical concerns related to administering high THC doses, there is no systematic analysis on studies utilizing these doses. In this review, we examine studies that administered oral THC doses ≥30 mg ("high-dose THC"), focusing on reported tolerability, subjective effects, and pharmacokinetics (PK), with the objective to inform the design of future studies. Methods: A comprehensive PubMed search was performed to identify studies meeting pre-specified criteria. Results: Our search identified 27 publications from 17 high-dose oral THC laboratory studies, with single doses up to 90 mg and multiple doses up to 210 mg per day. The maximum plasma THC concentration (C max ) appeared to increase in a dose-proportional manner over this dose range. All high-dose THC studies enrolled participants with previous cannabis experience, although current use ranged from nonusers to regular cannabis users. High-dose THC was generally well tolerated with transient mild to moderate AE, including nausea and vomiting, anxiety, paranoia, and sedation. There were occasional participant withdrawals due to AEs, but there were no serious AE. Participants with frequent cannabis use tolerated high-dose THC best. Conclusion: Although based on limited data, THC was generally adequately tolerated with single oral doses of at least 50 mg in a controlled laboratory setting in healthy participants with past cannabis experience.

Objective: Cannabis is widely used, including in early adolescence, with prevalence rates varying by measurement method (e.g., toxicology vs. self-report). Critical neurocognitive development occurs throughout adolescence. Given conflicting prior brain-behavior results in cannabis research, improved measurement of cannabis use in younger adolescents is needed., Methods: Data from the Adolescent Brain Cognitive Development (ABCD) Study Year 4 follow-up (participant age: 13-14 years-old) included hair samples assessed by LC-MS/MS and GC-MS/MS, quantifying THCCOOH (THC metabolite), THC, and cannabidiol concentrations, and the NIH Toolbox Cognitive Battery. Youth whose hair was positive for cannabinoids or reported past-year cannabis use were included in a Cannabis Use (CU) group (n = 123) and matched with non-using Controls on sociodemographics (n = 123). Standard and nested ANCOVAs assessed group status predicting cognitive performance, controlling for family relationships. Follow-up correlations assessed cannabinoid hair concentration, self-reported cannabis use, and neurocognition., Results: CU scored lower on Picture Memory (p = .03) than Controls. Within the CU group, THCCOOH negatively correlated with Picture Vocabulary (r = -0.20, p = .03) and Flanker Inhibitory Control and Attention (r = -0.19, p = .04), and past-year cannabis use was negatively associated with List Sorting Working Memory (r = -0.33, p = .0002) and Picture Sequence Memory (r = -0.19, p = .04) performances., Conclusions: Youth who had used cannabis showed lower scores on an episodic memory task, and more cannabis use was linked to poorer performances on verbal, inhibitory, working memory, and episodic memory tasks. Combining hair toxicology with self-report revealed more brain-behavior relationships than self-report data alone. These youth will be followed to determine long-term substance use and neurocognition trajectories., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier Ltd. All rights reserved.)

Consumption of hemp products is continuously growing, with an expanding scope of applications. Suppliers operate through different distribution channels, but the Internet is a major retail platform. Hemp products are prepared from cannabis plants and, therefore, might contain a variety of different natural cannabinoids. According to the regulations of the World Anti-Doping Agency, all natural and synthetic cannabinoids are prohibited in-competition, with the explicit exemption of cannabidiol. Therefore, an investigation of 23 hemp products for the presence of cannabinoids was performed to determine the likelihood of unintentional violations of anti-doping regulations. An assay for the detection of 16 cannabinoids in nutritional supplements was developed and validated. The sample preparation consisted of QuEChERS extraction, trimethylsilylation, and analysis by gas chromatography/tandem mass spectrometry. All 23 commercially available hemp products were analyzed, and assay characteristics such as selectivity, limit of detection, limit of identification, limit of quantification, linearity, imprecision, recovery, and accuracy were determined. Twenty of 23 hemp products included a variety of cannabinoids at, occasionally, substantial concentrations, with four products covering the entire spectrum of tested cannabinoids. An ethics committee-approved single-dose administration study was conducted with the commercially available hemp products, investigating the presence of 16 cannabinoids in urine collected pre- and post-consumption. Variable patterns of cannabinoids or their metabolites in urine were observed. In 30% of the urine samples collected 8 h after ingestion, the presence of a prohibited cannabinoid would have resulted in an unintentional violation of anti-doping regulations., (© 2022 The Authors. Drug Testing and Analysis published by John Wiley & Sons Ltd.)

An important role of modern forensic and clinical toxicologists is to monitor the adverse events of novel psychoactive substances (NPS). Following a prior review from 2013 to 2016, this critical literature review analyzes and evaluates published case reports for NPS from January 2017 through December 2020. The primary objective of this study is to assist in the assessment and interpretation of these cases as well as provide references for confirmation methods. Chemistry, pharmacology, adverse events and user profiles (e.g., polypharmacy) for NPS are provided including case history, clinical symptoms, autopsy findings and analytical results. Literature reviews were performed in PubMed and Google Scholar for publications using search terms such as NPS specific names, general terms (e.g., 'designer drugs' and 'novel psychoactive substances'), drug classes (e.g., 'designer stimulants') and outcome-based terms (e.g., 'overdose' and 'death'). Government and website drug surveillance databases and abstracts published by professional forensic science organizations were also searched. Toxicological data and detailed case information were extracted, tabulated, analyzed and organized by drug category. Case reports included overdose fatalities (378 cases), clinical treatment and hospitalization (771 cases) and driving under the influence of drugs (170 cases) for a total of 1,319 cases providing details of adverse events associated with NPS. Confirmed adverse events with associated toxidromes of more than 60 NPS were reported including synthetic cannabinoid, NPS stimulant, NPS hallucinogen, NPS benzodiazepine and NPS opioid cases. Fifty of these NPS were reported for the first time in January 2017 through December 2020 as compared to the previous 4 years surveyed. This study provides insight and context of case findings described in the literature and in digital government surveillance databases and websites during a recent 4-year period. This review will increase the awareness of adverse events associated with NPS use to better characterize international emerging drug threats., (© The Author(s) 2022. Published by Oxford University Press.)

The primary psychoactive component of cannabis, Δ 9 -tetrahydrocannabinol (THC) impairs cognitive function and psychomotor performance, particularly for complex tasks like piloting an aircraft. The Federal Aviation Administration's (FAA) Forensic Sciences Section at the Civil Aerospace Medical Institute (Oklahoma City, OK) performs toxicological analyses on pilots fatally injured in general aviation incidents, permitting cannabinoids measurement in a broad array of postmortem biological specimens. Cannabinoid concentrations in postmortem fluids and tissues from 10 pilots involved in airplane crashes are presented. Median (range) THC blood concentration was 1.6 (1.0-13.7) ng/mL. Phase I metabolites, 11-hydroxy-THC (11-OH-THC) and 11-nor-9-carboxy-THC (THCCOOH) and phase II glucuronide metabolite, THCCOOH-glucuronide, had median (range) blood concentrations of 1.4 (0.5-1.8), 9.9 (2.2-72.6) and 36.6 (7.1-160) ng/mL, respectively. Urine analyses revealed positive results for THCCOOH, THC-glucuronide, THCCOOH-glucuronide and 11-nor-9-carboxy-Δ 9 -tetrahydrocannabivarin (THCVCOOH). THC was readily distributed to lung, brain, kidney, spleen and heart. The psychoactive metabolite, 11-OH-THC, was identified in liver and brain with median (range) concentrations 7.1 (3.5-10.5) and 2.4 (2.0-6.0) ng/g, respectively. Substantial THCCOOH and THCCOOH-glucuronide concentrations were observed in liver, lung, brain, kidney, spleen and heart. These cannabinoid concentrations from multiple types of postmortem specimens add to the limited postmortem cannabinoid research data and suggest useful biological matrices for investigating cannabinoid-related deaths., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2021 Elsevier B.V. All rights reserved.)

Increased prevalence of cannabis consumption and impaired driving are a growing public safety concern. Some states adopted per se driving laws, making it illegal to drive with more than a specified blood concentration of ∆9-tetrahydrocannabinol (THC) in a biological fluid (typically blood). Blood THC concentrations decrease significantly (∼90%) with delays in specimen collection, suggesting the use of alternative matrices, such as oral fluid (OF). We characterized 10 cannabinoids' concentrations, including THC metabolites, in blood and OF from 191 frequent and occasional users by liquid chromatography with tandem mass spectrometry for up to 6 h after ad libitum smoking. Subjects self-titrated when smoking placebo, 5.9 or 13.4% THC cannabis. Higher maximum blood THC concentrations (Cmax) were observed in individuals who received the 5.9% THC versus the 13.4% THC plant material. In blood, the Cmax of multiple analytes, including THC and its metabolites, were increased in frequent compared to occasional users, whereas there were no significant differences in OF Cmax. Blood THC remained detectable (≥5 ng/mL) at the final sample collection for 14% of individuals who smoked either the 5.9 or 13.4% THC cigarette, whereas 54% had detectable THC in OF when applying the same cutoff. Occasional and frequent cannabis users' profiles were compared, THC was detectable for significantly longer duration in blood and OF from frequent users. Detection rates between frequent and occasional users at multiple per se cutoffs showed larger differences in blood versus OF. Understanding cannabinoid profiles of frequent and occasional users and the subsequent impact on detectability with current drug per se driving limits is important to support forensic interpretations and the development of scientifically supported driving under the influence of cannabis laws., (© The Author(s) 2021. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Proving driving under the influence of cannabis (DUIC) is difficult. Establishing a biomarker of recent use to supplement behavioral observations may be a useful alternative strategy. We determined whether cannabinoid concentrations in blood, oral fluid (OF) or breath could identify use within the past 3 h-likely the period of the greatest impairment. In a randomized trial, 191 frequent (≥4/week) and occasional (<4/week) cannabis users smoked one cannabis (placebo [0.02%], or 5.9% or 13.4% Δ9-tetrahydrocannabinol [THC]) cigarette ad libitum. Blood, OF and breath samples were collected prior to and up to 6 h after smoking. Samples were analyzed for 10 cannabinoids in OF, 8 in blood and THC in breath. Frequent users had more residual THC in blood and were more likely to be categorized as 'recently used' prior to smoking; this did not occur in OF. Per se limits ranging from undetectable to 5 ng/mL THC in blood offered limited usefulness as biomarkers of recent use. Cannabinol (CBN, cutoff = 1 ng/mL) in blood offered 100% specificity but only 31.4% sensitivity, resulting in 100% positive predictive value (PPV) and 94.0% negative predictive value (NPV) at 4.3% prevalence; however, CBN may vary by cannabis chemovar. A 10 ng/mL THC cutoff in OF exhibited the overall highest performance to detect its use within 3 h (99.7% specificity, 82.4% sensitivity, 92.5% PPV and 99.2% NPV) but was still detectable in 23.2% of participants ∼4.4 h post-smoking, limiting specificity at later time points. OF THC may be a helpful indicator of recent cannabis intake, but this does not equate to impairment. Behavioral assessment of impairment is still required to determine DUIC. This study only involved cannabis inhalation, and additional research evaluating alternative routes of ingestion (i.e., oral) is needed., (© The Author(s) 2021. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Cannabis sativa is commonly used worldwide and is frequently detected by forensic laboratories working with biological specimens from potentially impaired drivers or pilots. To address the problem of limited published methods for cannabinoids quantification in postmortem specimens, a liquid chromatography-tandem mass spectrometry (LC-MS/MS) method was developed and validated to quantify Δ 9 -tetrahydrocannabinol (THC), 11-hydroxy-THC (11-OH-THC), 11-nor-9-carboxy-THC (THCCOOH), 8β,11-dihydroxy-THC (8β-diOH-THC), 8β-hydroxy-THC (8β-OH-THC), THC-glucuronide (THC-g), THCCOOH-glucuronide (THCCOOH-g), cannabidiol (CBD), cannabinol (CBN), cannabigerol (CBG), Δ 9 -tetrahydrocannabivarin (THCV), and 11-nor-9-carboxy-THCV (THCVCOOH). Solid phase extraction concentrated analytes prior to analysis on a biphenyl column coupled to a mass spectrometer in electrospray positive ionization mode using multiple reaction monitoring. Linearity ranged from 0.25-50 ng/mL (THC-g), 0.5-100 ng/mL (CBN), 0.5-250 ng/mL (THC, 11-OH-THC, THCCOOH, CBD, and CBG), 1-100 ng/mL (8β-diOH-THC, THCVCOOH, 8β-OH-THC, and THCV) and 1-250 ng/mL (THCCOOH-g). Within-run imprecision was <11.2% CV, between-run imprecision <18.1% CV, and bias was less than ±15.1% of target concentration in blood for all cannabinoids at three concentrations. No carryover or interferences were observed. All cannabinoids were stable in blood at room temperature for 24 h, refrigerated (4°C) for 96 h, and following three freeze/thaw cycles. Matrix effects greater than 25% were observed for most analytes in tissues. The proof of concept for method applicability involved measurement of cannabinoids in a pilot fatally injured in an aviation crash. This new analytical method is robust and sensitive, enabling collection of additional cannabinoid postmortem distribution data to improve interpretation of postmortem cannabinoid results., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2021 Elsevier B.V. All rights reserved.)

According to the World Anti-Doping Agency (WADA) regulations, cannabinoids use is prohibited in competition except for cannabidiol (CBD) use. For an adverse analytical finding (AAF) in doping control, cannabinoid misuse is based on identification of the pharmacologically inactive metabolite 11-nor-delta-9-carboxy-tetrahydrocannabinol-9-carboxylic acid (carboxy-THC) in urine at a concentration greater than 180 ng/ml. All other (minor) cannabinoids are reported as AAF when identified, except for CBD that has been explicitly excluded from the class of cannabinoids on WADA's Prohibited List since 2018. However, due to the fact that CBD isolated from cannabis plants may contain additional minor cannabinoids, the permissible use of CBD can lead to unintentional violations of antidoping regulations. An assay for the detection of 16 cannabinoids in human urine was established. The sample preparation consisted of enzymatic hydrolysis of glucuronide conjugates, liquid-liquid extraction, trimethylsilylation, and analysis by gas chromatography/tandem mass spectrometry (GC-MS/MS). Spot urine samples from CBD users, as well as specimens obtained from CBD administration studies conducted with 15 commercially available CBD products, were analyzed, and assay characteristics such as selectivity, reproducibility of detection at the minimum required performance level, limit of detection, and limit of identification were determined. An ethical committee approved controlled single dose commercially available CBD products administration study was conducted to identify 16 cannabinoids in urine samples collected after ingestion or application of the CBD products as well as their presence in spot urine samples of habitual CBD users. Variable patterns of cannabinoids or their metabolites were observed in the urine samples, especially when full spectrum CBD products were consumed. The presence of minor cannabinoids or their metabolites in an athlete's in-competition urine sample represents a substantial risk of an antidoping rule violation., (© 2020 The Authors. Drug Testing and Analysis published by John Wiley & Sons Ltd.)

The phytocannabinoid Δ 9 -tetrahydrocannabinol (THC) was isolated and synthesized in the 1960s. Since then, two synthetic cannabinoids (SCBs) targeting the cannabinoid 1 (CB1R) and 2 (CB2R) receptors were approved for medical use based on clinical safety and efficacy data: dronabinol (synthetic THC) and nabilone (synthetic THC analog). To probe the function of the endocannabinoid system further, hundreds of investigational compounds were developed; in particular, agonists with (1) greater CB1/2R affinity relative to THC and (2) full CB1/2R agonist activity. This pharmacological profile may pose greater risks for misuse and adverse effects relative to THC, and these SCBs proliferated in retail markets as legal alternatives to cannabis (e.g., novel psychoactive substances [NPS], "Spice," "K2"). These SCBs were largely outlawed in the U.S., but blanket policies that placed all SCB chemicals into restrictive control categories impeded research progress into novel mechanisms for SCB therapeutic development. There is a concerted effort to develop new, therapeutically useful SCBs that target novel pharmacological mechanisms. This review highlights the potential therapeutic efficacy and safety considerations for unique SCBs, including CB1R partial and full agonists, peripherally-restricted CB1R agonists, selective CB2R agonists, selective CB1R antagonists/inverse agonists, CB1R allosteric modulators, endocannabinoid-degrading enzyme inhibitors, and cannabidiol. We propose promising directions for SCB research that may optimize therapeutic efficacy and diminish potential for adverse events, for example, peripherally-restricted CB1R antagonists/inverse agonists and biased CB1/2R agonists. Together, these strategies could lead to the discovery of new, therapeutically useful SCBs with reduced negative public health impact., (Copyright © 2020 Elsevier Inc. All rights reserved.)

Total urinary 11-nor-9-carboxy-tetrahydrocannabinol (THCCOOH) concentrations are generally reported following cannabis administration. Few data are available for glucuronide and minor cannabinoid metabolite concentrations. All urine specimens from 11 frequent and 9 occasional cannabis users were analyzed for 11 cannabinoids for ~85 h by liquid chromatography with tandem mass spectrometry following controlled smoked, vaporized or oral 50.6 mg Δ9-tetrahydrocannabinol (THC) in a randomized, placebo-controlled, within-subject dosing design. No cannabidiol, cannabinol, cannabigerol, tetrahydrocannabivarin (THCV), THC, 11-OH-THC and Δ9-tetrahydrocannabinolic acid were detected in urine. Median THCCOOH-glucuronide maximum concentrations (Cmax) following smoked, vaporized and oral routes were 68.0, 26.7 and 360 μg/L for occasional and 378, 248 and 485 μg/L for frequent users, respectively. Median time to specific gravity-normalized Cmax (Tmax) was 5.1-7.9 h for all routes and all users. Median Cmax for THCCOOH, THC-glucuronide and 11-nor-9-carboxy-Δ9-THCV (THCVCOOH) were <7.5% of THCCOOH-glucuronide Cmax concentrations. Only THC-glucuronide mean Tmax differed between routes and groups, and was often present only in occasional users' first urine void. Multiple THCCOOH-glucuronide and THCCOOH peaks were observed. We also evaluated these urinary data with published models for determining recency of cannabis use. These urinary cannabinoid marker concentrations from occasional and frequent cannabis users following three routes of administration provide a scientific database to assess single urine concentrations in cannabis monitoring programs. New target analytes (CBD, CBN, CBG, THCV and phase II metabolites) were not found in urine. The results are important to officials in drug treatment, workplace and criminal justice drug monitoring programs, as well as policy makers with responsibility for cannabis regulations., (Published by Oxford University Press 2020.)

Background: Cannabinoid analyses generally included, until recently, the primary psychoactive cannabis compound, Δ9-tetrahydrocannabinol (THC), and/or its inactive metabolite, 11-nor-9-carboxy-THC, in blood, plasma, and urine. Technological advances revolutionized the analyses of major and minor phytocannabinoids in diverse biological fluids and tissues. An extensive literature search was conducted in PubMed for articles on cannabinoid analyses from 2000 through 2019. References in acquired manuscripts were also searched for additional articles., Content: This article summarizes analytical methodologies for identification and quantification of multiple phytocannabinoids (including THC, cannabidiol, cannabigerol, and cannabichromene) and their precursors and/or metabolites in blood, plasma, serum, urine, oral fluid, hair, breath, sweat, dried blood spots, postmortem matrices, breast milk, meconium, and umbilical cord since the year 2000. Tables of nearly 200 studies outline parameters including analytes, specimen volume, instrumentation, and limits of quantification. Important diagnostic and interpretative challenges of cannabinoid analyses are also described. Medicalization and legalization of cannabis and the 2018 Agricultural Improvement Act increased demand for cannabinoid analyses for therapeutic drug monitoring, emergency toxicology, workplace and pain-management drug testing programs, and clinical and forensic toxicology applications. This demand is expected to intensify in the near future, with advances in instrumentation performance, increasing LC-MS/MS availability in clinical and forensic toxicology laboratories, and the ever-expanding knowledge of the potential therapeutic use and toxicity of phytocannabinoids., Summary: Cannabinoid analyses and data interpretation are complex; however, major and minor phytocannabinoid detection windows and expected concentration ranges in diverse biological matrices improve the interpretation of cannabinoid test results., (© American Association for Clinical Chemistry 2020. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Background The widespread availability of cannabis raises concerns regarding its effect on driving performance and operation of complex equipment. Currently, there are no established safe driving limits regarding ∆9-tetrahydrocannabinol (THC) concentrations in blood or breath. Daily cannabis users build up a large body burden of THC with residual excretion for days or weeks after the start of abstinence. Therefore, it is critical to have a sensitive and specific analytical assay that quantifies THC, the main psychoactive component of cannabis, and multiple metabolites to improve interpretation of cannabinoids in blood; some analytes may indicate recent use. Methods A liquid chromatography tandem mass spectrometry (LC-MS/MS) method was developed to quantify THC, cannabinol (CBN), cannabidiol (CBD), 11-hydroxy-THC (11-OH-THC), (±)-11-nor-9-carboxy-Δ9-THC (THCCOOH), (+)-11-nor-Δ9-THC-9-carboxylic acid glucuronide (THCCOOH-gluc), cannabigerol (CBG), and tetrahydrocannabivarin (THCV) in whole blood (WB). WB samples were prepared by solid-phase extraction (SPE) and quantified by LC-MS/MS. A rapid and simple method involving methanol elution of THC in breath collected in SensAbues® devices was optimized. Results Lower limits of quantification ranged from 0.5 to 2 μg/L in WB. An LLOQ of 80 pg/pad was achieved for THC concentrations in breath. Calibration curves were linear (R2>0.995) with calibrator concentrations within ±15% of their target and quality control (QC) bias and imprecision ≤15%. No major matrix effects or drug interferences were observed. Conclusions The methods were robust and adequately quantified cannabinoids in biological blood and breath samples. These methods will be used to identify cannabinoid concentrations in an upcoming study of the effects of cannabis on driving.

Purpose: Drug use during pregnancy is a critical global challenge, capable of severe impacts on neonatal development. However, the consumption of cannabis and synthetic cannabinoids is on the rise in pregnant women. Obstetric complications with increased risks of miscarriage, fetal growth restriction, and brain development impairment have been associated with perinatal cannabis exposure, but data on synthetic cannabinoid use during pregnancy are limited., Methods: We reviewed studies that investigated the risks associated with cannabis and synthetic cannabinoid use and those that reported the concentrations of cannabinoids and synthetic cannabinoids in maternal (breast milk) and neonatal (placenta, umbilical cord, meconium, and hair) matrices during human pregnancy. A MEDLINE and EMBASE literature search to identify all relevant articles published in English from January 1998 to April 2019 was performed., Results: Cannabis use during pregnancy is associated with increased risks of adverse obstetrical outcomes, although neurobehavioral effects are still unclear. Analyses of cannabinoids in meconium are well documented, but further research on other unconventional matrices is needed. Adverse effects due to perinatal synthetic cannabinoid exposure are still unknown, and analytical data are scarce., Conclusions: Awareness of the hazards of drug use during pregnancy should be improved to encourage health care providers to urge pregnant women to abstain from cannabis and, if cannabis-dependent, seek treatment. Moreover, substances used throughout pregnancy should be monitored as a deterrent to cannabis use, and potential cannabis-dependent women should be identified, so as to limit cannabis-fetal exposure during gestation, and provided appropriate treatment.

Variability in urine dilution complicates urine cannabinoid test interpretation. Normalizing urine cannabinoid concentrations to specific gravity (SG) or creatinine was proposed to account for donors' hydration states. In this study, all urine voids were individually collected from eight frequent and eight occasional cannabis users for up to 85 hours after each received on separate occasions 50.6 mg Δ9-tetrahydrocannabinol (THC) by smoking, vaporization, and oral ingestion in a randomized, within-subject, double-blind, double-dummy, placebo-controlled protocol. Each urine void was analyzed for 11 cannabinoids and phase I and II metabolites by liquid chromatography-tandem mass spectrometry (LC-MS/MS), SG, and creatinine. Normalized urine concentrations were log 10 transformed to create normal distributions, and Pearson correlation coefficients determined the degree of association between the two normalization methods. Repeated-measures linear regression determined if the degree of association differed by frequent or occasional cannabis use, or route of administration after adjusting for gender and time since dosing. Of 1880 urine samples examined, only 11-nor-9-carboxy-THC (THCCOOH), THCCOOH-glucuronide, THC-glucuronide, and 11-nor-9-carboxy-Δ9-tetrahydrocannabivarin (THCVCOOH) were greater than the method's limits of quantification (LOQs). Associations between SG- and creatinine-normalized concentrations exceeded 0.90. Repeated-measures regression analysis found small but statistically significant differences in the degree of association between normalization methods for THCCOOH and THCCOOH-glucuronide in frequent vs occasional smokers, and in THCVCOOH and THC-glucuronide by route of administration. For the first time, SG- and creatinine-normalized urine cannabinoid concentrations were evaluated in frequent and occasional cannabis users and following oral, smoked, and inhaled cannabis. Both normalization methods reduced variability, improving the interpretation of urine cannabinoid concentrations and methods were strongly correlated., (Published 2019. This article is a U.S. Government work and is in the public domain in the USA.)

Novel synthetic cannabinoids are appearing in recreational drug markets worldwide. Pharmacological characterization of these new drugs is needed to inform clinicians, toxicologists, and policy makers who monitor public health. [1-(5-Fluoropentyl)-1H-indol-3-yl](1-naphthyl)methanone (AM-2201) is an abused synthetic cannabinoid that was initially created as a research tool for investigating the endocannabinoid system. Here we measured the pharmacodynamic effects of AM-2201 in rats, and simultaneously determined plasma pharmacokinetics for the parent drug and its metabolites. Male Sprague-Dawley rats were fitted with surgically implanted temperature transponders and indwelling jugular catheters under pentobarbital anesthesia. One week later, rats received subcutaneous injection of AM-2201 (0.1, 0.3, and 1.0 mg/kg) or its vehicle, and serial blood specimens were withdrawn via catheters. Core temperatures and catalepsy were measured just prior to each blood withdrawal, and plasma was assayed for drug and metabolites using liquid chromatography-tandem mass spectrometry. We found that AM-2201 produced dose-related hypothermia and catalepsy that peaked at 2 hours and lasted up to 8 hours. AM-2201 plasma concentrations rose linearly with increasing dose and ranged from 0.14 to 67.9 µ g/l. Concentrations of three metabolites, AM-2201 N -(4-hydroxypentyl) (≤0.17 µ g/l), naphthalen-1-yl-(1-pentylindol-3-yl)methanone (JWH-018) N -(5-hydroxypentyl) (≤1.14 µ g/l), and JWH-018 N -pentanoic acid (≤0.88 µ g/l) were detectable but much lower. Peak AM-2201, JWH-018 N -(5-hydroxypentyl), and JWH-018 N -pentanoic acid concentrations occurred at 1.3, 2.4, and 6.5 hours, respectively. Concentrations of AM-2201, JWH-018 N -(5-hydroxypentyl), and JWH-018 N -pentanoic acid were negatively correlated with body temperature, but, given the low concentrations of metabolites detected, AM-2201 is likely the major contributor to pharmacodynamic effects under our experimental conditions., (U.S. Government work not protected by U.S. copyright.)

Clandestine laboratories continue producing new synthetic cannabinoids that mimic and magnify natural cannabinoids effects to circumvent drug scheduling legislation. New synthetic cannabinoids are highly potent and responsible for many acute intoxications and deaths. Characterization of metabolic pathways is critical to identify metabolite markers whose detection can prove intake. BB-22 is a new potent synthetic cannabinoid whose toxicological and metabolic properties are currently unavailable. Analytical methods require constant updating and are challenging due to extensive synthetic cannabinoid metabolism and low marker concentrations. A single non-specific BB-22 metabolite was previously identified in incubations with human liver microsomes (BB-22 3-carboxyindole). Clear characterization of BB-22's metabolism is required to help toxicologists document BB-22 consumption in clinical and forensic cases. We incubated 10 μmol/L BB-22 with cryopreserved human hepatocytes for 3 h. Samples were analyzed by liquid chromatography on a biphenyl column and high resolution mass spectrometry. Results were processed with data mining software, identifying ten metabolites. Loss of the quinolinyl side-chain via ester hydrolysis was the main biotransformation. All other metabolites were produced by further indole or cyclohexylmethyl hydroxylation or glucuronidation. We recommend BB-22 3-carboxyindole and two BB-22 3-carboxyindole-hydroxycyclohexylmethyl isomers as metabolite targets for documenting BB-22 intake. Hydrolysis of biological samples before analysis is strongly suggested to improve detection of phase I metabolites. BB-22 3-carboxyindole is not specific for BB-22 intake, as it was previously detected as a minor MDMB-CHMICA and ADB-CHMICA metabolite. Consumption of these two synthetic cannabinoids should be ruled out to confirm BB-22 intake., (Published by Elsevier B.V.)

Prolonged urinary cannabinoid excretion in chronic frequent cannabis users confounds identification of recent cannabis intake that may be important in treatment, workplace, clinical, and forensic testing programs. In addition, differentiation of synthetic Δ9-tetrahydrocannabinol (THC) intake from cannabis plant products might be an important interpretive issue. THC, 11-hydroxy-THC (11-OH-THC) and 11-nor-9-carboxy-THC (THCCOOH) urine concentrations were evaluated during previous controlled cannabis administration studies following tandem alkaline/E. coli β-glucuronidase hydrolysis. We optimized recombinant β-glucuronidase enzymatic urinary hydrolysis before simultaneous liquid chromatography tandem mass spectrometry (LC-MS/MS) quantification of THC, 11-OH-THC, THCCOOH, cannabidiol (CBD), cannabinol (CBN), cannabigerol (CBG), tetrahydrocannabivarin (THCV) and 11-nor-9-carboxy-THCV (THCVCOOH) in urine. Enzyme amount, incubation time and temperature, buffer molarity and pH were optimized using pooled urine samples collected during a National Institute on Drug Abuse, Institutional Review Board-approved clinical study. Optimized cannabinoid hydrolysis with recombinant β-glucuronidase was achieved with 2000 IU enzyme, 2 M pH 6.8 sodium phosphate buffer, and 0.2 mL urine at 37°C for 16 h. The LC-MS/MS quantification method for hydrolyzed urinary cannabinoids was validated per the Scientific Working Group on Toxicology guidelines. Linear ranges were 1-250 μg/L for THC and CBG, 2-250 μg/L for 11-OH-THC, CBD, CBN, THCV and THCVCOOH, and 1-500 μg/L for THCCOOH. Inter-batch analytical bias was 92.4-112.4%, imprecision 4.4-9.3% CV (n = 25), extraction efficiency 44.3-97.1% and matrix effect -29.6 to 1.8% (n = 10). The method was utilized to analyze urine specimens collected during our controlled smoked, vaporized, and edible cannabis administration study to improve interpretation of urine cannabinoid test results., (Published 2017. This article is a U.S. Government work and is in the public domain in the USA.)

Understanding cannabis and synthetic cannabinoid intake history is vital for treating drug dependence, investigating cannabinoid effects, and providing information to healthcare personnel, medical examiners, and public health officials; this is particularly relevant today with cannabis medicalization and legalization. Required information includes identifying exposure, time of use, frequency of use, relapse, withdrawal, and predicting cannabinoid effects. Recent controlled cannabinoid administration studies enable the development of models and markers to better identify patterns of intake and exposure. Future challenges include developing behavioral markers of cannabis impairment, bringing to market breathalyzers for cannabinoid detection, and identifying markers of recent cannabis intake in diverse biological matrices. We posit that biological monitoring of cannabinoids and metabolites will improve the characterization of cannabis and synthetic cannabinoid intake history., (Copyright © 2017 Elsevier Ltd. All rights reserved.)

Background: In 2014, 2 novel synthetic cannabinoids, MN-18 and its 5-fluoro analog, 5F-MN-18, were first identified in an ongoing survey of novel psychoactive substances in Japan. In vitro pharmacological assays revealed that MN-18 and 5F-MN-18 displayed high binding affinities to human CB 1 and CB 2 receptors, with K i being 1.65-3.86 nmol/L. MN-18 and 5F-MN-18 were scheduled in Japan and some other countries in 2014. Despite increasing prevalence, no human metabolism data are currently available, making it challenging for forensic laboratories to confirm intake of MN-18 or 5F-MN-18., Methods: We incubated 10 μmol/L of MN-18 and 5F-MN-18 in human hepatocytes for 3 h and analyzed the samples on a TripleTOF 5600 + high-resolution mass spectrometer to identify appropriate marker metabolites. Data were acquired via full scan and information-dependent acquisition-triggered product ion scans with mass defect filter., Results: In total, 13 MN-18 metabolites were detected, with the top 3 abundant metabolites being 1-pentyl-1H-indazole-3-carboxylic acid, pentyl-carbonylated MN-18, and naphthalene-hydroxylated MN-18. For 5F-MN-18, 20 metabolites were observed, with the top 3 abundant metabolites being 5'-OH-MN-18, MN-18 pentanoic acid, and 1-(5-fluoropentyl)-1H-indazole-3-carboxylic acid., Conclusions: We have characterized MN-18 and 5F-MN-18 metabolism with human hepatocytes and high-resolution mass spectrometry, and we recommend characteristic major metabolites for clinical and forensic laboratories to identify MN-18 and 5F-MN-18 intake and link observed adverse events to these novel synthetic cannabinoids., (© 2017 American Association for Clinical Chemistry.)

Oral fluid (OF) is an important matrix for monitoring drugs. Smoking cannabis is common, but vaporization and edible consumption also are popular. OF pharmacokinetics are available for controlled smoked cannabis, but few data exist for vaporized and oral routes. Frequent and occasional cannabis smokers were recruited as participants for four dosing sessions including one active (6.9% Δ 9 -tetrahydrocannabinol, THC) or placebo cannabis-containing brownie, followed by one active or placebo cigarette, or one active or placebo vaporized cannabis dose. Only one active dose was administered per session. OF was collected before and up to 54 (occasional) or 72 (frequent) h after dosing from cannabis smokers. THC, 11-hydroxy-THC (11-OH-THC), 11-nor-9-carboxy-THC (THCCOOH), tetrahydrocannabivarin (THCV), cannabidiol (CBD), and cannabigerol (CBG) were quantified by liquid chromatography-tandem mass spectrometry. OF cannabinoid C max occurred during or immediately after cannabis consumption due to oral mucosa contamination. Significantly greater THC C max and significantly later THCV, CBD, and CBG t last were observed after smoked and vaporized cannabis compared to oral cannabis in frequent smokers only. No significant differences in THC, 11-OH-THC, THCV, CBD, or CBG t max between routes were observed for either group. For occasional smokers, more 11-OH-THC and THCCOOH-positive specimens were observed after oral dosing than after inhaled routes, increasing % positive cannabinoid results and widening metabolite detection windows after oral cannabis consumption. Utilizing 0.3 µg/L THCV and CBG cut-offs resulted in detection windows indicative of recent cannabis intake. OF pharmacokinetics after high potency CBD cannabis are not yet available precluding its use currently as a marker of recent use. Published 2016. This article is a U.S. Government work and is in the public domain in the USA., (Published 2016. This article is a U.S. Government work and is in the public domain in the USA.)

Background: ADB-PINACA and its 5-fluoropentyl analog 5F-ADB-PINACA are among the most potent synthetic cannabinoids tested to date, with several severe intoxication cases. ADB-PINACA and 5F-ADB-PINACA have a different legal status, depending on the country. Synthetic cannabinoid metabolites predominate in urine, making detection of specific metabolites the most reliable way for proving intake in clinical and forensic specimens. However, there are currently no data on ADB-PINACA and 5F-PINACA metabolism. The substitution of a single fluorine atom distinguishes the 2 molecules, which may share common major metabolites. For some legal applications, distinguishing between ADB-PINACA and 5F-PINACA intake is critical. For this reason, we determined the human metabolic fate of the 2 analogs., Methods: ADB-PINACA and 5F-PINACA were incubated for 3 h with pooled cryopreserved human hepatocytes, followed by liquid chromatography-high-resolution mass spectrometry analysis. Data were processed with Compound Discoverer., Results: We identified 19 and 12 major ADB-PINACA and 5F-ADB-PINACA metabolites, respectively. Major metabolic reactions included pentyl hydroxylation, hydroxylation followed by oxidation (ketone formation), and glucuronidation of ADB-PINACA, and oxidative defluorination followed by carboxylation of 5F-ADB-PINACA., Conclusions: We recommend ADB-PINACA ketopentyl and hydroxypentyl, and ADB-PINACA 5-hydroxypentyl and pentanoic acid, as optimal markers for ADB-PINACA and 5F-ADB-PINACA intake, respectively. Since the 2 compounds present positional isomers as the primary metabolites, monitoring unique product ions and optimized chromatographic conditions are required for a clear distinction between ADB-PINACA and 5F-ADB-PINACA intake., (© 2016 American Association for Clinical Chemistry.)

Background: Roadside oral fluid (OF) Δ 9 -tetrahydrocannabinol (THC) detection indicates recent cannabis intake. OF and blood THC pharmacokinetic data are limited and there are no on-site OF screening performance evaluations after controlled edible cannabis., Content: We reviewed OF and blood cannabinoid pharmacokinetics and performance evaluations of the Draeger DrugTest ® 5000 (DT5000) and Alere™ DDS ® 2 (DDS2) on-site OF screening devices. We also present data from a controlled oral cannabis administration session., Summary: OF THC maximum concentrations (C max ) were similar in frequent as compared to occasional smokers, while blood THC C max were higher in frequent [mean (range) 17.7 (8.0-36.1) μg/L] smokers compared to occasional [8.2 (3.2-14.3) μg/L] smokers. Minor cannabinoids Δ 9 -tetrahydrocannabivarin and cannabigerol were never detected in blood, and not in OF by 5 or 8 h, respectively, with 0.3 μg/L cutoffs. Recommended performance (analytical sensitivity, specificity, and efficiency) criteria for screening devices of ≥80% are difficult to meet when maximizing true positive (TP) results with confirmation cutoffs below the screening cutoff. TPs were greatest with OF confirmation cutoffs of THC ≥1 and ≥2 μg/L, but analytical sensitivities were <80% due to false negative tests arising from confirmation cutoffs below the DT5000 and DDS2 screening cutoffs; all criteria were >80% with an OF THC ≥5 μg/L cutoff. Performance criteria also were >80% with a blood THC ≥5 μg/L confirmation cutoff; however, positive OF screening results might not confirm due to the time required to collect blood after a crash or police stop. OF confirmation is recommended for roadside OF screening.ClinicalTrials.gov identification number: NCT02177513., (© 2016 American Association for Clinical Chemistry.)

ADB-CHMINACA (MAB-CHMINACA) is a new synthetic cannabinoid with high potency and many reported adverse events and fatalities. The drug is currently scheduled in several countries in Europe and the USA. Analytical methods need to be developed to confirm ADB-CHMINACA intake for clinical and forensic programs. For many synthetic cannabinoids, parent compound is not detectable in biological samples after intake, making the detection of metabolites the only way to prove consumption. Therefore, detection of ADB-CHMINACA metabolites in biological specimens is critical. Since there are currently no published data on ADB-CHMINACA metabolism, we aimed to identify its major metabolites. Cryopreserved human hepatocytes were incubated with 10 μmol/L ADB-CHMINACA for 3 h. Incubations were analyzed with liquid chromatography on a biphenyl column, high resolution tandem mass spectrometry (orbitrap), and metabolite identification software. A reference standard of six commercially available potential metabolites was simultaneously analyzed under the same conditions to allow correct assignment of isomers. We detected ten major metabolites. Biotransformations mainly occurred at the cyclohexylmethyl tail of the compound, as also observed with structural analogs' metabolism. Minor reactions also occurred at the tert-butyl chain. Only two analytical standards of potential metabolites matched an actual metabolite detected in hepatocyte incubations. We recommend A9 (ADB-CHMINACA hydroxycyclohexylmethyl), A4 (ADB-CHMINACA 4″-hydroxycyclohexyl), and A6 (ADB-CHMINACA hydroxycyclohexylmethyl) as metabolite targets to document ADB-CHMINACA intake in clinical and forensic cases. Additionally, these results will guide analytical standard manufacturers to better provide suitable references for further studies on ADB-CHMINACA metabolism.

We review approaches for determining metabolism of new synthetic cannabinoids (SCs), and challenges and advances in identifying optimal urinary marker metabolites of SC intake. Metabolic patterns of different SC generations are evaluated, and a practical strategy offered for selecting SC urinary marker metabolites. Novel SCs are incubated with human hepatocytes, the most abundant and characteristic metabolites are identified with high-resolution mass spectrometry, and proposed hepatocyte marker metabolites are confirmed in authentic positive urine samples., (Published 2016. This article is a U.S. Government work and is in the public domain in the USA.)

This "Designer Drugs 2.0" issue of Clinical Pharmacology & Therapeutics focuses on novel psychoactive substances, primarily cannabinoids and cathinones, and the repurposing of established psychoactive compounds (e.g., modafinil, psilocybin, lysergic acid diethylamide, and 3,4-methylenedioxymethamphetamine) that simultaneously offer new pharmacotherapies and pose serious health problems. Novel psychoactive substances were initially used as potent tools to investigate endogenous neurotransmitter systems; for example, synthetic cannabinoids have much higher potency than Δ9-tetrahydrocannabinol at the cannabinoid receptors. However, they are now being used illicitly as well as being tested for their efficacy in numerous clinical indications. Likewise, previously established psychoactive drugs are being repurposed as treatments for a wide variety of indications where currently approved medications are ineffective. This set of papers examines the arising problems associated with designer drugs (e.g., adverse events, psychosis, rapid new synthesis, abuse liability testing, internet sales, scheduling) as well as the potential therapeutic promises in areas as diverse as cognition enhancement, exercise-mimetics, epilepsy, multiple sclerosis, and posttraumatic stress disorder., (© 2016 American Society for Clinical Pharmacology and Therapeutics.)

Cannabinoid stability in oral fluid (OF) is important for assuring accurate results since OF has become a valid alternative matrix of choice for drug testing. We previously published OF cannabinoid stability studies using Quantisal™, Oral-Eze®, and StatSure™ devices stored at room temperature for 1 week, 4 °C for up to 4 weeks, and at -20 °C up to 24 weeks. Extending refrigerated stability up to 3 months would be helpful for clinical and forensic testing, for re-analysis of OF samples and for batching research analyses. Individual authentic OF pools were prepared after controlled smoking of a 6.9% ∆ 9 -tetrahydracannabinol cannabis cigarette; the Quantisal™ device was utilized for OF collection. Fifteen healthy volunteers participated in the Institutional Review Board-approved study. Stability for THC, 11-nor-9-carboxy-THC (THCCOOH), ∆ 9 -tetrahydrocannabivarin (THCV), cannabidiol (CBD), and cannabigerol (CBG) were determined after storage at 4 °C for 1, 2, and 3 months. Results within ±20% of baseline concentrations were considered stable. All analytes were stable for up to 2 months at 4 °C for all participants with positive baseline concentrations. Baseline concentrations were highly variable. In total, THC, THCCOOH, THCV, CBD, and CBG were stable for 3 months at 4 °C for pooled positive specimens from 14 of 15, 8 of 9, 7 of 8, 8 of 9, and 9 of 10 participants, respectively. In conclusion, Quantisal™-collected OF specimens should be stored at 4 °C for no more than two months to assure accurate THC, THCCOOH, THCV, CBD, and CBG quantitative results; only one participant's OF was unstable at three months. Published 2016. This article is a U.S. Government work and is in the public domain in the USA., (Published 2016. This article is a U.S. Government work and is in the public domain in the USA.)

Background: There is increasing interest in markers of recent cannabis use because following frequent cannabis intake, Δ 9 -tetrahydrocannabinol (THC) may be detected in blood for up to 30 days. The minor cannabinoids cannabidiol, cannabinol (CBN), and THC-glucuronide were previously detected for ≤2.1 h in frequent and occasional smokers' blood after cannabis smoking. Cannabigerol (CBG), Δ 9 -tetrahydrocannabivarin (THCV), and 11-nor-9-carboxy-THCV might also be recent use markers, but their blood pharmacokinetics have not been investigated. Additionally, while smoking is the most common administration route, vaporization and edibles are frequently used., Methods: We characterized blood pharmacokinetics of THC, its phase I and phase II glucuronide metabolites, and minor cannabinoids in occasional and frequent cannabis smokers for 54 (occasional) and 72 (frequent) hours after controlled smoked, vaporized, and oral cannabis administration., Results: Few differences were observed between smoked and vaporized blood cannabinoid pharmacokinetics, while significantly greater 11-nor-9-carboxy-THC (THCCOOH) and THCCOOH-glucuronide concentrations occurred following oral cannabis. CBG and CBN were frequently identified after inhalation routes with short detection windows, but not detected following oral dosing. Implementation of a combined THC ≥5 μg/L plus THCCOOH/11-hydroxy-THC ratio <20 cutoff produced detection windows <8 h after all routes for frequent smokers; no occasional smoker was positive 1.5 h or 12 h following inhaled or oral cannabis, respectively., Conclusions: Vaporization and smoking provide comparable cannabinoid delivery. CBG and CBN are recent-use cannabis markers after cannabis inhalation, but their absence does not exclude recent use. Multiple, complimentary criteria should be implemented in conjunction with impairment observations to improve interpretation of cannabinoid tests. Clinicaltrials.gov Identifier: NCT02177513., (© 2016 American Association for Clinical Chemistry.)

A comprehensive cannabinoid urine quantification method may improve clinical and forensic result interpretation and is necessary to support our clinical research. A liquid chromatography tandem mass spectrometry quantification method for ∆(9)-tetrahydrocannabinol (THC), 11-hydroxy-THC (11-OH-THC), 11-nor-9-carboxy-THC (THCCOOH), ∆(9)-tetrahydrocannabinolic acid (THCAA), cannabinol (CBN), cannabidiol (CBD), cannabigerol (CBG), ∆(9)-tetrahydrocannabivarin (THCV), 11-nor-9-carboxy-THCV (THCVCOOH), THC-glucuronide (THC-gluc), and THCCOOH-glucuronide (THCCOOH-gluc) in urine was developed and validated according to the Scientific Working Group on Toxicology guidelines. Sample preparation consisted of disposable pipette extraction (WAX-S) of 200 μL urine. Separation was achieved on a Kinetex C18 column using gradient elution with flow rate 0.5 mL/min, mobile phase A (10 mM ammonium acetate in water), and mobile phase B (15 % methanol in acetonitrile). Total run time was 14 min. Analytes were monitored in both positive and negative ionization modes by scheduled multiple reaction monitoring. Linear ranges were 0.5-100 μg/L for THC and THCCOOH; 0.5-50 μg/L for 11-OH-THC, CBD, CBN, THCAA, and THC-gluc; 1-100 μg/L for CBG, THCV, and THCVCOOH; and 5-500 μg/L for THCCOOH-gluc (R (2) > 0.99). Analytical biases were 88.3-113.7 %, imprecisions 3.3-14.3 %, extraction efficiencies 42.4-81.5 %, and matrix effect -10 to 32.5 %. We developed and validated a comprehensive, simple, and rapid LC-MS/MS cannabinoid urine method for quantification of 11 cannabinoids and metabolites. This method is being used in a controlled cannabis administration study, investigating urine cannabinoid markers documenting recent cannabis use, chronic frequent smoking, or route of drug administration and potentially improving urine cannabinoid result interpretation., Competing Interests: The authors declare no conflicts of interest.

Identifying recent cannabis intake is confounded by prolonged cannabinoid excretion in chronic frequent cannabis users. We previously observed detection times ≤2.1h for cannabidiol (CBD) and cannabinol (CBN) and Δ(9)-tetrahydrocannabinol (THC)-glucuronide in whole blood after smoking, suggesting their applicability for identifying recent intake. However, whole blood collection may not occur for up to 4h during driving under the influence of drugs investigations, making a recent-use marker with a 6-8h detection window helpful for improving whole blood cannabinoid interpretation. Other minor cannabinoids cannabigerol (CBG), Δ9-tetrahydrocannabivarin (THCV), and its metabolite 11-nor-9-carboxy-THCV (THCVCOOH) might also be useful. We developed and validated a sensitive and specific liquid chromatography-tandem mass spectrometry method for quantification of THC, its phase I and glucuronide phase II metabolites, and 5 five minor cannabinoids. Cannabinoids were extracted from 200μL whole blood via disposable pipette extraction, separated on a C18 column, and detected via electrospray ionization in negative mode with scheduled multiple reaction mass spectrometric monitoring. Linear ranges were 0.5-100μg/L for THC and 11-nor-9-carboxy-THC (THCCOOH); 0.5-50μg/L for 11-hydroxy-THC (11-OH-THC), CBD, CBN, and THC-glucuronide; 1-50μg/L for CBG, THCV, and THCVCOOH; and 5-500μg/L for THCCOOH-glucuronide. Inter-day accuracy and precision at low, mid and high quality control (QC) concentrations were 95.1-113% and 2.4-8.5%, respectively (n=25). Extraction recoveries and matrix effects at low and high QC concentrations were 54.0-84.4% and -25.8-30.6%, respectively. By simultaneously monitoring multiple cannabinoids and metabolites, identification of recent cannabis administration or discrimination between licit medicinal and illicit recreational cannabis use can be improved., (Published by Elsevier B.V.)

Rationale: AMB (methyl (1-pentyl-1H-indazole-3-carbonyl)-L-valinate)) and its fluoro analog 5F-AMB (methyl (1-(5-fluoropentyl)-1H-indazole-3-carbonyl)-L-valinate) are two new synthetic cannabinoids that are structural analogs of AB-PINACA and 5F-AB-PINACA, respectively. 5F-AMB is scheduled as an illicit drug in China, Germany, Singapore and Japan, and no metabolism data are currently available for either drug. The aim of the present work was to investigate the metabolism of AMB and 5F-AMB and propose appropriate markers to identify their intake in clinical or forensic cases., Methods: AMB and 5F-AMB were incubated in human hepatocytes (10 μmol/L) to generate phase I and II metabolites, which were identified with a TripleTOF 5600(+) high-resolution mass spectrometer. AMB and 5F-AMB metabolic stability studies also were performed with human liver microsomes (HLM) to evaluate metabolic clearances, and to adequately design the human hepatocyte experiment., Results: AMB and 5F-AMB were quickly metabolized in HLM with a 1.1 ± 0.1 and 1.0 ± 0.2 min T1/2, respectively. The predominant metabolic pathway for AMB and 5F-AMB in hepatocytes was ester hydrolysis, and further oxidation and/or glucuronidation. In total, 19 metabolites were identified for AMB and 17 for 5F-AMB. We describe metabolites to differentiate AMB from 5F-AMB, and metabolites that are common to both analytes due to oxidative defluorination of 5F-AMB., Conclusions: For the first time, AMB and 5F-AMB metabolism profiles were characterized, providing valuable data for identifying these two novel psychoactive substances. The difficulties of differentiating AMB and 5F-AMB from AB-PINACA/5F-AB-PINACA metabolites also were examined. These data improve the interpretation of urinary markers after AMB and 5F-AMB intake. Published in 2016. This article is a U.S. Government work and is in the public domain in the USA., (Published in 2016. This article is a U.S. Government work and is in the public domain in the USA.)

In 2014, FDU-PB-22 and FUB-PB-22, two novel synthetic cannabinoids, were detected in herbal blends in Japan, Russia, and Germany and were quickly added to their scheduled drugs list. Unfortunately, no human metabolism data are currently available, making it challenging to confirm their intake. The present study aims to identify appropriate analytical markers by investigating FDU-PB-22 and FUB-PB-22 metabolism in human hepatocytes and confirm the results in authentic urine specimens. For metabolic stability, 1 μM FDU-PB-22 and FUB-PB-22 was incubated with human liver microsomes for up to 1 h; for metabolite profiling, 10 μM was incubated with human hepatocytes for 3 h. Two authentic urine specimens from FDU-PB-22 and FUB-PB-22 positive cases were analyzed after β-glucuronidase hydrolysis. Metabolite identification in hepatocyte samples and urine specimens was accomplished by high-resolution mass spectrometry using information-dependent acquisition. Both FDU-PB-22 and FUB-PB-22 were rapidly metabolized in HLM with half-lives of 12.4 and 11.5 min, respectively. In human hepatocyte samples, we identified seven metabolites for both compounds, generated by ester hydrolysis and further hydroxylation and/or glucuronidation. After ester hydrolysis, FDU-PB-22 and FUB-PB-22 yielded the same metabolite M7, fluorobenzylindole-3-carboxylic acid (FBI-COOH). M7 and M6 (hydroxylated FBI-COOH) were the major metabolites. In authentic urine specimens after β-glucuronidase hydrolysis, M6 and M7 also were the predominant metabolites. Based on our study, we recommend M6 (hydroxylated FBI-COOH) and M7 (FBI-COOH) as suitable urinary markers for documenting FDU-PB-22 and/or FUB-PB-22 intake.

Background: Despite increasing prevalence of novel psychoactive substances, no human metabolism data are currently available, complicating laboratory documentation of intake in urine samples and assessment of the drugs' pharmacodynamic, pharmacokinetic, and toxicological properties. In 2014, THJ-018 and THJ-2201, synthetic cannabinoid indazole analogs of JWH-018 and AM-2201, were identified, with the National Forensic Laboratory Information System containing 220 THJ-2201 reports. Because of numerous adverse events, the Drug Enforcement Administration listed THJ-2201 as Schedule I in January 2015., Methods: We used high-resolution mass spectrometry (HR-MS) (TripleTOF 5600(+)) to identify optimal metabolite markers after incubating 10 μmol/L THJ-018 and THJ-2201 in human hepatocytes for 3 h. Data were acquired via full scan and information-dependent acquisition triggered product ion scans with mass defect filter. In silico metabolite predictions were performed with MetaSite and compared with metabolites identified in human hepatocytes., Results: Thirteen THJ-018 metabolites were detected, with the major metabolic pathways being hydroxylation on the N-pentyl chain and further oxidation or glucuronidation. For THJ-2201, 27 metabolites were observed, predominantly oxidative defluorination plus subsequent carboxylation or glucuronidation, and glucuronidation of hydroxylated metabolites. Dihydrodiol formation on the naphthalene moiety was observed for both compounds. MetaSite prediction matched well with THJ-018 hepatocyte metabolites but underestimated THJ-2201 oxidative defluorination., Conclusions: With HR-MS for data acquisition and processing, we characterized THJ-018 and THJ-2201 metabolism in human hepatocytes and suggest appropriate markers for laboratories to identify THJ-018 and THJ-2201 intake and link observed adverse events to these new synthetic cannabinoids., (© 2015 American Association for Clinical Chemistry.)

Background: Synthetic cannabinoids are touted as legal alternatives to cannabis, at least when first released, and routine urine cannabinoid screening methods do not detect these novel psychoactive substances. Synthetic cannabinoids are widely available, are a major public health and safety problem, and a difficult challenge for drug-testing laboratories. We evaluated performance of the National Medical Services (NMS) JWH-018 direct enzyme-linked immunosorbent assay (ELISA) kit to sensitively, selectively, and rapidly screen urinary synthetic cannabinoids., Methods: The NMS ELISA kit targeting the JWH-018 N-(5-hydroxypentyl) metabolite was used to screen 2492 urine samples with 5 and 10 mcg/L cutoffs. A fully validated liquid chromatography-tandem mass spectrometry method for 29 synthetic cannabinoids markers confirmed all presumptive positive and negative results. Performance challenges at ±25% and ±50% of cutoffs determined intraplate and interplate imprecision around proposed cutoffs., Results: The immunoassay was linear from 1 to 500 mcg/L with intraplate and interplate imprecision of ≤8.2% and <14.0%, respectively. No interferences were present from 93 common drugs of abuse, metabolites, coadministered drugs, over-the-counter medications, or structurally similar compounds, and 19 of 73 individual synthetic cannabinoids (26%) exhibited moderate to high cross-reactivity to JWH-018 N-(5-hydroxypentyl) metabolite. Sensitivity, specificity, and efficiency results were 83.7%, 99.4%, and 97.6%, as well as 71.6%, 99.7%, and 96.4% with the 5 and 10 mcg/L urine cutoffs, respectively., Conclusions: This high throughput immunoassay exhibited good diagnostic efficiency and documented that the NMS JWH-018 direct ELISA is a viable method for screening synthetic cannabinoids in urine targeting the JWH-018 N-(5-hydroxypentyl) and related analytes. Optimal performance was achieved with a matrix-matched 5 mcg/L urine cutoff.

More Americans are dependent on cannabis than any other illicit drug. The main analytes for cannabis testing include the primary psychoactive constituent, Δ(9)-tetrahydrocannabinol (THC), equipotent 11-hydroxy-THC (11-OH-THC) and inactive 11-nor-9-carboxy-THC (THCCOOH). Eleven adult chronic frequent cannabis smokers resided on a closed research unit with unlimited access to 5.9% THC cannabis cigarettes from 12:00 to 23:00 during two ad libitum smoking phases, followed by a 5-day abstinence period in seven participants. A single cigarette was smoked under controlled topography on the last day of the smoking and abstinence phases. Plasma cannabinoids were quantified by two-dimensional gas chromatography-mass spectrometry. Median plasma maximum concentrations (Cmax) were 28.3 (THC), 3.9 (11-OH-THC) and 47.0 μg/L (THCCOOH) 0.5 h after controlled single cannabis smoking. Median Cmax 0.2-0.5 h after ad libitum smoking was higher for all analytes: 83.5 (THC), 14.2 (11-OH-THC) and 155 μg/L (THCCOOH). All 11 participants' plasma samples were THC and THCCOOH-positive, 58.3% had THC ≥5 μg/L and 79.2% were 11-OH-THC-positive 8.1-14 h after last cannabis smoking. Cannabinoid detection rates in seven participants 106-112 h (4-5 days) after last smoking were 92.9 (THC), 35.7 (11-OH-THC) and 100% (THCCOOH), with limits of quantification of 0.5 μg/L for THC and THCCOOH, and 1.0 μg/L for 11-OH-THC. These data greatly expand prior research findings on cannabinoid excretion profiles in chronic frequent cannabis smokers during ad libitum smoking. Smoking multiple cannabis cigarettes led to higher Cmax and AUC compared with smoking a single cigarette. The chronic frequent cannabis smokers exhibited extended detection windows for plasma cannabinoids, reflecting a large cannabinoid body burden., (Published by Oxford University Press 2015. This work is written by (a) US Government employee(s) and is in the public domain in the US.)

Δ(9) -Tetrahydrocannabinol (THC) is the most commonly analyzed cannabinoid in oral fluid (OF); however, its metabolite 11-nor-9-carboxy-THC (THCCOOH) offers the advantage of documenting active consumption, as it is not detected in cannabis smoke. Analytical challenges such as low (ng/L) THCCOOH OF concentrations hampered routine OF THCCOOH monitoring. Presence of minor cannabinoids like cannabidiol and cannabinol offer the advantage of identifying recent cannabis intake. Published OF cannabinoids methods have limitations, including few analytes and lengthy derivatization. We developed and validated a sensitive and specific liquid chromatography-tandem mass spectrometry (LC-MS/MS) method for THC, its metabolites, 11-hydroxy-THC and THCCOOH quantification, and other natural cannabinoids including tetrahydrocannabivarin (THCV), cannabidiol (CBD), and cannabigerol (CBG) in 1 mL OF collected with the Quantisal device. After solid-phase extraction, chromatography was performed on a Selectra PFPP column with a 0.15% formic acid in water and acetonitrile gradient with a 0.5 mL/min flow rate. All analytes were monitored in positive mode atmospheric pressure chemical ionization (APCI) with multiple reaction monitoring. Limits of quantification were 15 ng/L THCCOOH and 0.2 µg/L for all other analytes. Linear ranges extended to 3750 ng/L THCCOOH, 100 µg/L THC, and 50 µg/L for all other analytes. Inter-day analytical recoveries (bias) and imprecision at low, mid, and high quality control (QC) concentrations were 88.7-107.3% and 2.3-6.7%, respectively (n = 20). Mean extraction efficiencies and matrix effects evaluated at low and high QC were 75.9-86.1% and 8.4-99.4%, respectively. This method will be highly useful for workplace, criminal justice, drug treatment and driving under the influence of cannabis OF testing., (Published 2014. This article is a U.S. Government work and is in the public domain in the USA.)

Oral fluid (OF) offers a simple, non-invasive, directly observable sample collection for clinical and forensic drug testing. Given that chronic cannabis smokers often engage in drug administration multiple times daily, evaluating OF cannabinoid pharmacokinetics during ad libitum smoking is important for practical development of analytical methods and informed interpretation of test results. Eleven cannabis smokers resided in a closed research unit for 51 days, and underwent four, 5-day oral delta-9-tetrahydrocannabinol (THC) treatments. Each medication period was separated by 9 days of ad libitum cannabis smoking from 12:00 to 23:00 h daily. Ten OF samples were collected from 9:00-22:00 h on each of the last ad libitum smoking days (Study Days 4, 18, 32, and 46). As the number of cannabis cigarettes smoked increased over the study days, OF THC, cannabinol (CBN), and 11-nor-9-carboxy-THC (THCCOOH) also increased with a significant effect of time since last smoking (Δtime; range, 0.0-17.4 h) and ≥88% detection rates; concentrations on Day 4 were significantly lower than those on Days 32 and 46 but not Day 18. Within 30 min of smoking, median THC, CBN, and THCCOOH concentrations were 689 µg/L, 116 µg/L, and 147 ng/L, respectively, decreasing to 19.4 µg/L, 2.4 µg/L, and 87.6 ng/L after 10 h. Cannabidiol and 11-hydroxy-THC showed overall lower detection rates of 29 and 8.6%, respectively. Cannabinoid disposition in OF was highly influenced by Δtime and composition of smoked cannabis. Furthermore, cannabinoid OF concentrations increased over ad libitum smoking days, in parallel with increased cannabis self-administration, possibly reflecting development of increased cannabis tolerance., (Copyright © 2014 John Wiley & Sons, Ltd.)

Synthetic cannabinoid intake is an ongoing health issue worldwide, with new compounds continually emerging, making drug testing complex. Parent synthetic cannabinoids are rarely detected in urine, the most common matrix employed in workplace drug testing. Optimal identification of synthetic cannabinoid markers in authentic urine specimens and correlation of metabolite concentrations and toxicities would improve synthetic cannabinoid result interpretation. We screened 20 017 randomly collected US military urine specimens between July 2011 and June 2012 with a synthetic cannabinoid immunoassay yielding 1432 presumptive positive specimens. We analyzed all presumptive positive and 1069 negative specimens with our qualitative synthetic cannabinoid liquid chromatography-tandem mass spectrometry (LC-MS/MS) method, which confirmed 290 positive specimens. All 290 positive and 487 randomly selected negative specimens were quantified with the most comprehensive urine quantitative LC-MS/MS method published to date; 290 specimens confirmed positive for 22 metabolites from 11 parent synthetic cannabinoids. The five most predominant metabolites were JWH-018 pentanoic acid (93%), JWH-N-hydroxypentyl (84%), AM2201 N-hydroxypentyl (69%), JWH-073 butanoic acid (69%), and JWH-122 N-hydroxypentyl (45%) with 11.1 (0.1-2,434), 5.1 (0.1-1,239), 2.0 (0.1-321), 1.1 (0.1-48.6), and 1.1 (0.1-250) µg/L median (range) concentrations, respectively. Alkyl hydroxy and carboxy metabolites provided suitable biomarkers for 11 parent synthetic cannabinoids; although hydroxyindoles were also observed. This is by far the largest data set of synthetic cannabinoid metabolites urine concentrations from randomly collected workplace drug testing specimens rather than acute intoxications or driving under the influence of drugs. These data improve the interpretation of synthetic cannabinoid urine test results and suggest suitable urine markers of synthetic cannabinoid intake., (This article is a U.S. Government work and is in the public domain in the USA.)

Synthetic cannabinoids are marketed as legal alternatives to cannabis, as routine urine cannabinoid immunoassays do not detect synthetic cannabinoids. Laboratories are challenged to identify these new designer drugs that are widely available and represent a major public health and safety problem. Immunoassay testing offers rapid separation of presumptive positive and negative specimens, prior to more costly and time-consuming chromatographic confirmation. The Neogen SPICE ELISA kit targets JWH-018 N-pentanoic acid as a marker for urinary synthetic cannabinoids. Assay performance was evaluated by analyzing 2469 authentic urine samples with the Neogen immunoassay and liquid chromatography-tandem mass spectrometry (LC-MS/MS). Two immunoassay cut-off concentrations, 5 and 10 µg/L, classified samples as presumptive positive or negative, followed by qualitative LC-MS/MS confirmation for 29 synthetic cannabinoids markers with limits of detection of 0.5-10 µg/L to determine the assay's sensitivity, specificity and efficacy. Challenges at ±25% of each cut-off also were investigated to determine performance around the cut-off and intra- and inter-plate imprecision. The immunoassay was linear from 1 to 250 µg/L (r(2)  = 0.992) with intra- and inter-plate imprecision of ≤5.3% and <9%, respectively. Sensitivity, specificity, and efficiency results with the 5 µg/L cut-off were 79.9%, 99.7%, and 97.4% and with the 10 µg/L cut-off 69.3%, 99.8%, and 96.3%, respectively. Cross-reactivity was shown for 18 of 73 synthetic cannabinoids markers evaluated. Good sensitivity, specificity, and efficiency, lack of sample preparation requirements, and rapid semi-automation documented that the Neogen SPICE ELISA kit is a viable method for screening synthetic cannabinoids in urine targeting JWH-018 N-pentanoic acid., (Copyright © 2014 John Wiley & Sons, Ltd.)

Background: Increased medical and legal cannabis intake is accompanied by greater use of cannabis vaporization and more cases of driving under the influence of cannabis. Although simultaneous Δ(9)-tetrahydrocannabinol (THC) and alcohol use is frequent, potential pharmacokinetic interactions are poorly understood. Here we studied blood and plasma vaporized cannabinoid disposition, with and without simultaneous oral low-dose alcohol., Methods: Thirty-two adult cannabis smokers (≥1 time/3 months, ≤3 days/week) drank placebo or low-dose alcohol (target approximately 0.065% peak breath-alcohol concentration) 10 min before inhaling 500 mg placebo, low-dose (2.9%) THC, or high-dose (6.7%) THC vaporized cannabis (6 within-individual alcohol-cannabis combinations). Blood and plasma were obtained before and up to 8.3 h after ingestion., Results: Nineteen participants completed all sessions. Median (range) maximum blood concentrations (Cmax) for low and high THC doses (no alcohol) were 32.7 (11.4-66.2) and 42.2 (15.2-137) μg/L THC, respectively, and 2.8 (0-9.1) and 5.0 (0-14.2) μg/L 11-OH-THC. With alcohol, low and high dose Cmax values were 35.3 (13.0-71.4) and 67.5 (18.1-210) μg/L THC and 3.7 (1.4-6.0) and 6.0 (0-23.3) μg/L 11-OH-THC, significantly higher than without alcohol. With a THC detection cutoff of ≥1 μg/L, ≥16.7% of participants remained positive 8.3 h postdose, whereas ≤21.1% were positive by 2.3 h with a cutoff of ≥5 μg/L., Conclusions: Vaporization is an effective THC delivery route. The significantly higher blood THC and 11-OH-THC Cmax values with alcohol possibly explain increased performance impairment observed from cannabis-alcohol combinations. Chosen driving-related THC cutoffs should be considered carefully to best reflect performance impairment windows. Our results will help facilitate forensic interpretation and inform the debate on drugged driving legislation., (© 2015 American Association for Clinical Chemistry.)

Synthetic cannabinoids (SC), originally developed as research tools, are now highly abused novel psychoactive substances. We present a comprehensive systematic review covering in vivo and in vitro animal and human pharmacokinetics and analytical methods for identifying SC and their metabolites in biological matrices. Of two main phases of SC research, the first investigated therapeutic applications, and the second abuse-related issues. Administration studies showed high lipophilicity and distribution into brain and fat tissue. Metabolite profiling studies, mostly with human liver microsomes and human hepatocytes, structurally elucidated metabolites and identified suitable SC markers. In general, SC underwent hydroxylation at various molecular sites, defluorination of fluorinated analogs and phase II metabolites were almost exclusively glucuronides. Analytical methods are critical for documenting intake, with different strategies applied to adequately address the continuous emergence of new compounds. Immunoassays have different cross-reactivities for different SC classes, but cannot keep pace with changing analyte targets. Gas chromatography and liquid chromatography mass spectrometry assays - first for a few, then numerous analytes - are available but constrained by reference standard availability, and must be continuously updated and revalidated. In blood and oral fluid, parent compounds are frequently present, albeit in low concentrations; for urinary detection, metabolites must be identified and interpretation is complex due to shared metabolic pathways. A new approach is non-targeted HRMS screening that is more flexible and permits retrospective data analysis. We suggest that streamlined assessment of new SC's pharmacokinetics and advanced HRMS screening provide a promising strategy to maintain relevant assays.

Evaluation of cannabinoid stability in authentic oral fluid (OF) is critical, as most OF stability studies employed fortified or synthetic OF. Participants (n = 16) smoked a 6.8% delta-9-tetrahydrocannabinol (THC) cigarette, and baseline concentrations of THC, 11-nor-9-carboxy-THC (THCCOOH), cannabidiol (CBD), and cannabinol (CBN) were determined within 24 h in 16 separate pooled samples (collected 1 h before to 10.5 or 13 h after smoking). OF was collected with the StatSure Saliva Sampler™ and Oral-Eze® devices. Oral-Eze samples were re-analyzed after room temperature (RT) storage for 1 week, and for both devices after 4 °C for 1 and 4 weeks, and -20 °C for 4 and 24 weeks. Concentrations ±20% from initial concentrations were considered stable. With the StatSure device, all cannabinoids were within 80-120% median %baseline for all storage conditions. Individual THC, CBD, CBN and THCCOOH pool concentrations were stable in 100%, 100%, 80-94% and >85%, respectively, across storage conditions. With the Oral-Eze device, at RT or refrigerated storage (for 1 and 4 weeks), THC, CBD and THCCOOH were stable in 94-100%, 78-89%, and 93-100% of samples, respectively, while CBN concentrations were 53-79% stable. However, after 24 weeks at -20 °C, stability decreased, especially for CBD, with a median of 56% stability. Overall, the collection devices' elution/stabilizing buffers provided good stability for OF cannabinoids, with the exception of the more labile CBN. To ensure OF cannabinoid concentration accuracy, these data suggest analysis within 4 weeks at 4 °C storage for Oral-Eze collection and within 4 weeks at 4 °C or 24 weeks at -20 °C for StatSure collection. Published 2014. This article is a U.S. Government work and is in the public domain in the USA., (Published 2014. This article is a U.S. Government work and is in the public domain in the USA.)

Background: Identifying synthetic cannabinoid designer drug abuse challenges toxicologists and drug testing programs. The best analytical approach for reliably documenting intake of emerging synthetic cannabinoids is unknown. Primarily metabolites are found in urine, but optimal metabolite targets remain unknown, and definitive identification is complicated by converging metabolic pathways., Methods: We screened 20,017 US military urine specimens collected from service members worldwide for synthetic cannabinoids between July 2011 and June 2012. We confirmed 1432 presumptive positive and 1069 presumptive negative specimens by qualitative liquid chromatography tandem mass spectrometry (LC-MS/MS) analysis including 29 biomarkers for JWH-018, JWH-073, JWH-081, JWH-122, JWH-200, JWH-210, JWH-250, RCS-4, AM2201 and MAM2201. Specimen preparation included enzyme hydrolysis and acetonitrile precipitation prior to LC-MS/MS analysis. We evaluated individual synthetic cannabinoid metabolite detection rates, prevalence, temporal patterns and suitable targets for analytical procedures., Results: Prevalence was 1.4% with 290 confirmed positive specimens, 92% JWH-018, 54% AM2201 and 39% JWH-122 metabolites. JWH-073, JWH-210 and JWH-250 also were identified in 37%, 4% and 8% of specimens, respectively. The United States Army Criminal Investigation Command seizure pattern for synthetic cannabinoid compounds matched our urine specimen results over the time frame of the study. Apart from one exception (AM2201), no parent compounds were observed., Conclusions: Hydroxyalkyl metabolites accounted for most confirmed positive tests, and in many cases, two metabolites were identified, increasing confidence in the results, and improving detection rates. These data also emphasize the need for new designer drug metabolism studies to provide relevant targets for synthetic cannabinoid identification.

Clandestine laboratories constantly produce new synthetic cannabinoids to circumvent legislative scheduling efforts, challenging and complicating toxicological analysis. Sundstrom et al. (Anal Bioanal Chem 405(26):8463-8474, [9]) and Kronstrand et al. (Anal Bioanal Chem 406(15):3599-3609, [10]) published nontargeted liquid chromatography, high-resolution, quadrupole/time-of-flight mass spectrometric (LC-QTOF) assays with validated detection of 18 and 38 urinary synthetic cannabinoid metabolites, respectively. We developed and validated a LC-QTOF urine method for simultaneously identifying the most current 47 synthetic cannabinoid metabolites from 21 synthetic cannabinoid families (5-fluoro AB-PINACA, 5-fluoro-AKB48, 5-fluoro PB-22, AB-PINACA, ADB-PINACA, AKB48, AM2201, JWH-018, JWH-019, JWH-073, JWH-081, JWH-122, JWH-200, JWH-210, JWH-250, JWH-398, MAM2201, PB-22, RCS-4, UR-144, and XLR11). β-Glucuronidase-hydrolyzed urine was extracted with 1-mL Biotage SLE+ columns. Specimens were reconstituted in 150-μL mobile phase consisting of 80% A (0.1% formic acid in water) and 20% B (0.1% formic acid in acetonitrile). Fifty microliters was injected, and SWATH™ MS data were acquired in positive electrospray mode. The LC-QTOF instrument consisted of a Shimadzu UFLCxr system and an ABSciex 5600+ TripleTOF® mass spectrometer. Gradient chromatographic separation was achieved with a Restek Ultra Biphenyl column with a 0.5-mL/min flow rate and an overall run time of 15 min. Identification criteria included molecular ion mass error, isotopic profiles, retention time, and library fit criteria. Limits of detection were 0.25-5 μg/L (N = 10 unique fortified urine samples), except for two PB-22 metabolites with limits of 10 and 20 μg/L. Extraction efficiencies and matrix effects (N = 10) were 55-104 and -65-107%, respectively. We present a highly useful novel LC-QTOF method for simultaneously confirming 47 synthetic cannabinoid metabolites in human urine.

Background: Synthetic cannabinoids (SC) are a heterogeneous group of compounds developed to probe the endogenous cannabinoid system or as potential therapeutics. Clandestine laboratories subsequently utilized published data to develop SC variations marketed as abusable designer drugs. In the early 2000s, SC became popular as "legal highs" under brand names such as Spice and K2, in part due to their ability to escape detection by standard cannabinoid screening tests. The majority of SC detected in herbal products have greater binding affinity to the cannabinoid CB1 receptor than does Δ(9)-tetrahydrocannabinol (THC), the primary psychoactive compound in the cannabis plant, and greater affinity at the CB1 than the CB2 receptor. In vitro and animal in vivo studies show SC pharmacological effects 2-100 times more potent than THC, including analgesic, anti-seizure, weight-loss, anti-inflammatory, and anti-cancer growth effects. SC produce physiological and psychoactive effects similar to THC, but with greater intensity, resulting in medical and psychiatric emergencies. Human adverse effects include nausea and vomiting, shortness of breath or depressed breathing, hypertension, tachycardia, chest pain, muscle twitches, acute renal failure, anxiety, agitation, psychosis, suicidal ideation, and cognitive impairment. Long-term or residual effects are unknown. Due to these public health consequences, many SC are classified as controlled substances. However, frequent structural modification by clandestine laboratories results in a stream of novel SC that may not be legally controlled or detectable by routine laboratory tests., Methods: We present here a comprehensive review, based on a systematic electronic literature search, of SC epidemiology and pharmacology and their clinical implications., (Published by Elsevier Ireland Ltd.)

Oral fluid (OF) is an increasingly popular alternative matrix for drug testing, with cannabinoids being the most commonly identified illicit drug. Quantification of multiple OF cannabinoids and understanding differences in OF cannabinoid pharmacokinetics between frequent and occasional smokers improve test interpretation. The new Oral-Eze® OF collection device has an elution buffer that stabilizes analytes and improves drug recovery from the collection pad; however, its performance has not been independently evaluated. After controlled smoking of a 6.8% Δ(9) -tetrahydrocannabinol (THC) cannabis cigarette by frequent and occasional smokers, OF was collected with the Oral-Eze device for up to 30 h. Samples were analyzed for multiple cannabinoids by a validated 2D-GC-MS method. Frequent smokers had significantly greater OF THCCOOH concentrations than occasional smokers at all times, and showed positive results for a significantly longer time. We evaluated multiple cannabinoid cut-offs; the shortest last detection times were observed when THC ≥ 1 μg/L was combined with CBD or CBN ≥ 1 μg/L. With these cut-offs, last detection times(1-13.5 h) were not significantly different between groups, demonstrating suitability for short-term cannabinoid detection independent of smoking history. Cut-offs utilizing THC alone or combined with THCCOOH showed significantly different last detection times between groups. The widest detection windows were observed with THC ≥ 1 or 2 μg/L or THCCOOH ≥ 20 ng/L. Our data illustrate the effectiveness of the Oral-Eze® device for OF collection, the impact of self-administered smoked cannabis history on OF cannabinoid results, and the ability to improve interpretation and tailor OF cannabinoid cut-offs to fulfill the detection window needs of a given program., (Published 2014. This article is a U.S. Government work and is in the public domain in the USA.)

Introduction: The recent emergence and widespread availability of many new synthetic cannabinoids support the need for an accurate and high-throughput urine screen for these new designer drugs. We evaluated performance of the immunalysis homogeneous enzyme immunoassay (HEIA) to sensitively, selectively, and rapidly identify urinary synthetic cannabinoids., Methods: 2443 authentic urine samples were analyzed with the HEIA that targets JWH-018 N-pentanoic acid, and a validated LC-MS/MS method for 29 synthetic cannabinoids and metabolites. Semi-quantitative HEIA results were obtained, permitting performance evaluation at and around three cutoffs (5, 10 and 20 μg/L), and diagnostic sensitivity, specificity and efficiency determination. Performance challenges at ±25 and ±50% of each cutoff level, cross-reactivity and interferences also were evaluated., Results: Sensitivity, specificity, and efficiency of the immunalysis HEIA K2 Spice kit with the manufacturer's recommended 10 μg/L cutoff were 75.6%, 99.6% and 96.8%, respectively, as compared to the reference LC-MS/MS method with limits of detection of 0.1-10 μg/L. Performance at 5 μg/L was 92.2%, 98.1% and 97.4%, and for the 20 μg/L cutoff were 62.9%, 99.7% and 95.4%. Semi-quantitative results for in-house prepared standards were obtained from 2.5-30 μg/L, and documented acceptable linearity from 5-25 μg/L, with inter-day imprecision <30% (n = 17). Thirteen of 74 synthetic cannabinoids evaluated were classified as highly cross-reactive (≥50% at 10 μg/L); 4 showed moderate cross-reactivity (10-50% at 10 μg/L), 30 low cross-reactivity (<10% at 500 μg/L), and 27 <1% cross-reactivity at 500 μg/L. There was no interference from 102 investigated compounds. Only a mixture containing 1000 μg/L each of buprenorphine/norbuprenorphine produced a positive result above our proposed cutoff (5 μg/L) but below the manufacturer's recommended cutoff concentration (10 μg/L)., Conclusion: The Immunalysis HEIA K2 Spice kit required no sample preparation, had a high-throughput, and acceptable sensitivity, specificity and efficiency, offering a viable method for screening synthetic cannabinoids in urine that cross-react with JWH-018 N-pentanoic acid antibodies., (Published by Elsevier Ireland Ltd.)

Oral fluid (OF) enables non-invasive sample collection for on-site drug testing, but performance of on-site tests with occasional and frequent smokers' OF to identify cannabinoid intake requires further evaluation. Furthermore, as far as we are aware, no studies have evaluated differences between cannabinoid disposition among OF collection devices with authentic OF samples after controlled cannabis administration. Fourteen frequent (≥4 times per week) and 10 occasional (less than twice a week) adult cannabis smokers smoked one 6.8% ∆(9)-tetrahydrocannabinol (THC) cigarette ad libitum over 10 min. OF was collected with the StatSure Saliva Sampler, Oral-Eze, and Draeger DrugTest 5000 test cassette before and up to 30 h after cannabis smoking. Test cassettes were analyzed within 15 min and gas chromatography-mass spectrometry cannabinoid results were obtained within 24 h. Cannabinoid concentrations with the StatSure and Oral-Eze devices were compared and times of last cannabinoid detection (t(last)) and DrugTest 5000 test performance were assessed for different cannabinoid cutoffs. 11-nor-9-Carboxy-THC (THCCOOH) and cannabinol concentrations were significantly higher in Oral-Eze samples than in Stat-Sure samples. DrugTest 5000 t(last) for a positive cannabinoid test were median (range) 12 h (4-24 h) and 21 h (1- ≥ 30 h) for occasional and frequent smokers, respectively. Detection windows in screening and confirmatory tests were usually shorter for occasional than for frequent smokers, especially when including THCCOOH ≥20 ng L(-1) in confirmation criteria. No differences in t(last) were observed between collection devices, except for THC ≥2 μg L(-1). We thus report significantly different THCCOOH and cannabinol, but not THC, concentrations between OF collection devices, which may affect OF data interpretation. The DrugTest 5000 on-site device had high diagnostic sensitivity, specificity, and efficiency for cannabinoids.