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Background: Apathy is among the neuropsychiatric symptoms frequently observed in people with cognitive impairment. It has been postulated to be a potential predictor of conversion from mild cognitive impairment (MCI) to Alzheimer’s disease (AD). Objective: To detect conversion rates from MCI to AD, and to determine the effect of apathy on the progression to AD in patients with MCI enrolled in the Texas Alzheimer’s Research and Care Consortium (TARCC) cohort. Methods: Apathy was determined by a positive response to the respective item in the Neuropsychiatric Inventory –Questionnaire (NPI-Q) completed by family members or caregivers. The final dataset included 2,897 observations from 1,092 individuals with MCI at the baseline. Kaplan-Meier survival curves were estimated to provide indices of the probability of conversion to AD over time across all individuals as well as between those with and without apathy. Cox proportional hazards regression measured the hazard associated with apathy and several other predictors of interest. Results: Over a period of 8.21 years, 17.3% of individuals had conversion from MCI to AD (n = 190 of 1,092 total individuals) across observations. The median time-to-conversion across all participants was 6.41 years. Comparing individuals with apathy (n = 158) versus without apathy (n = 934), 36.1% and 14.2% had conversion to AD, respectively. The median time-to-conversion was 3.79 years for individuals with apathy and 6.83 years for individuals without apathy. Cox proportional hazards regression found significant effects of several predictors, including apathy, on time-to-conversion. Age and cognitive performance were found to moderate the relationship between apathy and time-to-conversion. Conclusions: Apathy is associated with progression from MCI to AD, suggesting that it might improve risk prediction and aid targeted intervention delivery.

Smokers with stronger neuroaffective responses to drug-related cues compared to nondrug-related pleasant images (C > P) are more vulnerable to compulsive smoking than individuals with the opposite brain reactivity profile (P > C). However, it is unknown if these neurobehavioral profiles exist in individuals abusing other drugs. We tested whether individuals with cocaine use disorder (CUD) show similar neuroaffective profiles to smokers. We also monitored eye movements to assess attentional bias toward cues and we further performed exploratory analyses on demographics, personality, and drug use between profiles. Participants with CUD (n = 43) viewed pleasant, unpleasant, cocaine, and neutral images while we recorded electroencephalogram. For each picture category, we computed the amplitude of the late positive potential (LPP), an event-related potential component that reflects motivational relevance. k-means clustering classified participants based on their LPP responses. In line with what has been observed in smokers, clustering participants using LPP responses revealed the presence of two groups: one with larger LPPs to pleasant images compared to cocaine images (P > C) and one group with larger LPPs to cocaine images compared to pleasant images (C > P). Individuals with the C > P reactivity profile also had higher attentional bias toward drug cues. The two groups did not differ on demographic and drug use characteristics, however individuals with the C > P profile reported lower distress tolerance, higher anhedonia, and higher posttraumatic stress symptoms compared to the P > C group. This is the first study to report the presence of these neuroaffective profiles in individuals with CUD, indicating that this pattern may cut across addiction populations. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

The behavioral economic measure drug demand and the neural measure late positive potential (LPP) are two measures of motivational value that have been associated with drug relapse risk and treatment outcomes. Despite having overlapping themes, no studies have directly compared drug demand and LPP. Participants (

Background: The response time speed-accuracy trade-off (SATO) is an established index of information processing ability, but rarely examined as a variable in association with treatment of substance use disorder (SUD). Aim: The purpose of this study was to test baseline information-processing ability differences between individuals who respond to treatment for cocaine use disorder v. those who do not. Methods: Eighty patients enrolled in a clinical trial for cocaine use disorder completed a baseline drug-specific eye-tracking (anti-saccade) assessment prior to treatment, which included trials with both cocaine-related and neutral stimuli. SATO functions were computed for treatment responders v. non-responders. Results: Unexpectedly, responders demonstrated statistically different SATO functions, showing poorer accuracy when executing faster response times. This difference was present on trials that presented cocaine stimuli only. Conclusions: SATO during performance of an eye-movement task may be useful for predicting differential response to substance use disorder treatment. However, in the present study, results were specific to cocaine cues rather than an overall SATO performance decrement.

For non-treatment-seeking women who use substances during pregnancy, immediately postpartum may be an optimum time for intervention. Our study tested a novel, brief, hospital-initiated, adaptive motivational interviewing plus acceptance and commitment therapy (MIACT) intervention to facilitate treatment initiation and reproductive planning postpartum among mothers who used substances during pregnancy.Mothers (N = 64) with an infant admitted to a neonatal intensive care unit were enrolled if they or their infant tested positive for an illicit substance at delivery or had a documented positive drug screen during pregnancy. A parallel group, randomized controlled design assigned participants to MIACT or conventional care (CC), with assessments at week 2 and 4 during treatment and follow-up at 2 and 6 months post treatment. Bayesian generalized linear modeling was used to evaluate outcomes as a function of treatment.Results indicated that during treatment the MIACT group demonstrated an 84% probability of benefit relative to CC with regard to initiating treatment (RR=1.5), however the effect was not seen at follow-up. MIACT was also associated with an increased probability of attending a postpartum obstetrics visit (RR=1.4), and receiving contraception during treatment and at both follow-ups, with posterior probabilities of 96% or higher and relative risks ranging from 1.5 to 5.1 at varying timepoints. Substance use rates for the MIACT versus CC were higher at follow-up.Brief, hospital-initiated interventions can assist postpartum mothers who use substances to enter treatment and obtain contraception in order to reduce future substance-exposed pregnancies.

Background Inflammation is implicated in cocaine use and associated problems, including depression and cognitive impairment. Objective We assessed 18 cytokines, cocaine use, cognition, and depression in individuals with Cocaine Use Disorder. Our general hypothesis was that higher pro-inflammatory cytokines would relate to more cocaine use, poorer cognition, and more depression, while higher anti-inflammatory cytokines would relate to less cocaine use, better cognition, and less depression. Methods Data were collected from 85 individuals (76.5% male, 80% African American) aged 18-65. The ASI, Shipley-2, and BDI-II assessed frequency and duration of cocaine use, cognition, and depression. Cytokines were tested using Bio-Plex Pro™ assays. Elastic net regression identified which cytokines related to each measure, controlling for confounds. Results Lower IL-29 (B = -0.08, bootstrapped 95%CI = [-0.24,0.07]), scD163 (B = -0.11, bootstrapped 95%CI = [-0.27,0.04]), Eotaxin-1 CCL11 (B = -0.11, bootstrapped 95%CI = [-0.30,0.08]), and higher APRIL/TNFSF13 (B = 0.11, bootstrapped 95%CI = [-0.08,0.30]) related to more frequent cocaine use. Lower IL-29 (B = -0.24, bootstrapped 95% CI = [-2.26,1.79]) and IL-20 (B = -1.62, bootstrapped 95%CI = [-3.53,0.29]) related to longer duration of cocaine use. Higher Eotaxin-2 CCL24 (B = 2.79, bootstrapped 95%CI = [-0.59,6.17]) and TWEAK (B = 2.83, bootstrapped 95%CI = [-0.80,6.45]) related to better cognition. Finally, higher IL-20 (B = -1.83, bootstrapped 95%CI = [-3.70,0.04]) and Osteocalcin (B = -1.56, bootstrapped 95%CI = [-3.81,0.70]) related to lower depressive symptoms. However, none of these relationships survived bootstrapped analyses. Conclusion Pro- and anti-inflammatory cytokines may relate to cocaine use, cognition, and depression, but inconsistent with our hypotheses, higher pro-inflammatory cytokines related to better functioning in several domains. Additionally, cytokines were selected at low frequencies and demonstrated weak relationships with outcomes. These preliminary findings suggest complex relationships between inflammation and cocaine use.

Cocaine use disorder (CUD) is a significant public health issue. Behavioral interventions such as contingency management (CM) have been demonstrated to be highly effective in promoting cocaine abstinence. However, identifying individual characteristics associated with cocaine relapse may help improve treatment outcomes. Cocaine demand is a behavioral economic measure that shares a scientific foundation with CM. In the current study, we assessed baseline cocaine demand using a hypothetical cocaine purchasing task. Participants (N = 58) consisted of treatment-seeking individuals with CUD. All participants received 1 month of CM treatment for cocaine abstinence, and treatment responders were defined as presenting 6 consecutive cocaine negative urine samples from thrice weekly clinic visits. Demand data were well described by the exponentiated demand model. Indices of demand (intensity of demand [Q₀], elasticity [α]) were significantly associated with recent (last 30 days) cocaine use. Importantly, linear regression revealed that CM treatment nonresponders presented significantly higher Q₀ (p = .025). Subsequent quantile regression analyses examining the relationship between CM treatment response and Q₀ revealed statistically reliable effects of being a nonresponder across 3 of the lower percentiles (i.e., 15, 25, and 30). Overall, these findings provide further support for the utility of exponentiated demand model. To our knowledge, this is the first study to demonstrate an association between baseline demand and contingency management response and systematically extend the findings of prior demand research to a novel drug class, cocaine. (PsycINFO Database Record (c) 2020 APA, all rights reserved).

Objective The neutrophil to lymphocyte ratio (NLR) is a non-specific, easy-to-obtain marker of inflammation associated with morbidity and mortality in systemic, psychiatric, and age-related inflammatory conditions. Given the growing trend of substance use disorder (SUD) in older adults, and the relationship between inflammation and SUD elevated NLR may serve as a useful inflammatory biomarker of the combined burden of aging and SUD. The present study focused on cocaine use disorder (CUD) to examine if cocaine adds further inflammatory burden among older adults, by comparing NLR values between older adults with CUD and a non-cocaine using, aged-matched, nationally representative sample. Methods The dataset included 107 (86% male) participants (aged 50-65 years) with cocaine use disorder. NLR was derived from complete blood count tests by dividing the absolute value of peripheral neutrophil concentration by lymphocyte concentration. For comparison, we extracted data from age-matched adults without CUD using the National Health and Nutrition Examination Survey. Individuals with immunocompromising conditions were excluded (e.g., rheumatoid arthritis and sexually transmitted infections such as HIV). A doubly-robust inverse probability-weighted regression adjustment (IPWRA) propensity score method was used to estimate group differences on NLR while controlling for potential confounding variables (age, gender, race, income, nicotine, marijuana and alcohol use). Results The IPWRA model revealed that the CUD sample had significantly elevated NLR in comparison to non-cocaine users, with a moderate effect size (β weight = 0.67). Conclusion Although non-specific, NLR represents a readily obtainable inflammatory marker for SUD research. CUD may add further inflammatory burden to aging cocaine users.

Bipolar disorder (BD) has been previously associated with clinical signs of premature aging, including accelerated epigenetic aging in blood and brain, and a steeper age-related decline in cognitive function. However, the clinical drivers and cognitive correlates of epigenetic aging in BD are still unknown. We aimed to investigate the relationship between multiple measures of epigenetic aging acceleration with clinical, functioning, and cognitive outcomes in patients with BD and controls. Blood genome-wide DNA methylation levels were measured in BD patients (n = 153) and matched healthy controls (n = 50) with the Infinium MethylationEPIC BeadChip (Illumina). Epigenetic age estimates were calculated using an online tool, including the recently developed lifespan predictor GrimAge, and analyzed with generalized linear models controlling for demographic variables and blood cell proportions. BD was significantly associated with greater GrimAge acceleration (AgeAccelGrim, β=0.197, p = 0.009), and significant group-dependent interactions were found between AgeAccelGrim and blood cell proportions (CD4+ T-lymphocytes, monocytes, granulocytes, and B-cells). Within patients, higher AgeAccelGrim was associated with worse cognitive function in multiple domains (short-term affective memory (β=-0.078, p = 0.030), short-term non-affective memory (β=-0.088, p = 0.018), inhibition (β=0.064, p = 0.046), and problem solving (β=-0.067, p = 0.034)), age of first diagnosis with any mood disorder (β=-0.076, p = 0.039) or BD (β=-0.102, p = 0.016), as well as with current non-smoking status (β=-0.392, p 0.001). Overall, our findings support the contribution of epigenetic factors to the aging-related cognitive decline and premature mortality reported in BD patients, with an important driving effect of smoking in this population.

Background: Apathy is among the most frequent neuropsychiatric syndromes in Alzheimer’s disease (AD). Objective: To determine the prevalence of apathy and the associated clinical and laboratorial parameters (focus on inflammatory biomarkers) in patients with dementia enrolled at the Texas Alzheimer’s Research and Care Consortium (TARCC) study. Methods: This is a cross-sectional analysis of TARCC baseline. Participants were evaluated through different clinical tools, including the Mini-Mental State Examination (MMSE) and the Lawton-Brody Instrumental Activities of Daily Life (IADL)/Physical Self-Maintenance Scale (PSMS). Apathy was defined by a positive response to the respective item in the Neuropsychiatric Inventory–Questionnaire applied to caregivers. Serum levels of 16 biomarkers were determined by HumanMap multiplex immunoassay. Comparisons between apathy versus non-apathy groups were carried out with non-parametric tests. Logistic regression and the least absolute shrinkage and selection operator (LASSO) were used to separately model apathy as a function of each biomarker, adjusted for the potential confounders. Results: From 1,319 patients with AD (M/F: 579/740, mean age ± SD: 75.3 ± 8.4), 373 (28.3%) exhibited apathy. When categorized according to the presence of apathy, the groups had significant differences in sex, diabetes diagnosis, and tobacco use. The apathy group also had worse cognitive performance and daily functioning than the non-apathy group as assessed, respectively, by MMSE and IADL/PSMS. Higher levels of interleukin-6, interleukin-10, and leptin were associated with higher odds of apathy. Conclusion: Apathy is associated with cognitive and functional status in AD. The association between apathy and peripheral inflammatory mediators deserves further investigation.

Bipolar disorder (BD) is a highly variable and burdensome disease for patients and caregivers. A BD diagnosis almost triples the likelihood of developing dementia as the disease progresses. Neurocognitive reserve appears to be one of the most important influences on lifelong functional outcomes and quality of life in BD. Though several prior studies have assessed the effects of lithium on regional gray and white matter volumes in this population, representative cohorts are typically middle-aged, have a more severe pathology, and are not as commonly assessed in the depressive phase (which represents the majority of most patients' lifespans outside of remission). Here we have shown that positive adaptations with lithium can be observed throughout the brain after only six weeks of monotherapy at low-therapeutic serum levels. Importantly, these results remove some confounders seen in prior studies (patients were treatment free at time of enrollment and mostly treatment naïve). This cohort also includes underrepresented demographics in the literature (young adult patients, mostly bipolar II, and exclusively in the depressed phase). These findings bolster the extensive body of evidence in support of long-term lithium therapy in BD, furthering the possibility of its expanded use to wider demographics.

The aims of this article are to discuss the rationale, design, and procedures of the Greater Houston Area Bipolar Registry (HBR), which aims at contributing to the effort involved in the investigation of neurobiological mechanisms underlying bipolar disorder (BD) as well as to identify clinical and neurobiological markers able to predict BD clinical course. The article will also briefly discuss examples of other initiatives that have made fundamental contributions to the field. This will be a longitudinal study with participants aged 6–17 at the time of enrollment. Participants will be required to meet diagnostic criteria for BD, or to be offspring of a parent with BD. We will also enroll healthy controls. Besides clinical information, which includes neurocognitive performance, participants will be asked to provide blood and saliva samples as well as to perform neuroimaging exams at baseline and follow-ups. Several studies point to the existence of genetic, inflammatory, and brain imaging alterations between individuals at higher genetic risk for BD compared with healthy controls. Longitudinal designs have shown high conversion rates to BD among high-risk offspring, with attempts to identify clinical predictors of disease onset, as well as clarifying the burden associated with environmental stressors. The HBR will help in the worldwide effort investigating the clinical course and neurobiological mechanisms of affected and high-risk children and adolescents with BD.

A hypothetical cocaine purchasing task (CocPT) was used to assess changes in cocaine demand in the context of contingency management (CM) treatment for cocaine use disorder (CUD). Participants (N = 89) were treatment-seeking individuals with CUD receiving 4 weeks of abstinence-based, high-magnitude CM. Treatment response (vs. non-response) was operationally defined as the submission of 6 consecutive cocaine-negative urine samples across two weeks. The CPT was assessed at baseline, week 2, and week 5. Demand data were well described by the exponentiated demand model, and baseline demand indices (Q0, Pmax, breakpoint, essential value) were significantly associated with self-report measures of cocaine use. The probability of being a zero-responder reporting zero cocaine consumption at all prices significantly increased over the course of treatment, and was greater among treatment responders vs. non-responders. Among non-zero demand data, decreases in Omax, Pmax, breakpoint, and essential value were observed over the course of CM treatment, favoring responders. To our knowledge, this is the first study to assess change in cocaine demand in the context of CM treatment targeting cocaine abstinence. Our results support the utility of cocaine demand as a measure for both identifying individuals with greater treatment need and tracking relapse risk over the course of treatment.

Cocaine demand is a behavioral economic measure assessing drug reward value and motivation to use drug. The purpose of the current study was to develop a brief assessment of cocaine demand (BACD). Results from the BACD were compared with self-report measures of cocaine use. Participants consisted of treatment-seeking individuals with cocaine use disorder (CUD: N = 22). Results revealed that indices of brief demand were significantly associated with various self-report measures of cocaine use. Overall, these results support the utility of a BACD for assessing cocaine demand.

Background Monoamine oxidase inhibitors (MAOIs) were the first class of modern antidepressants; however, they are under-utilized as compared to the newer antidepressants. Methods In this systematic review, network meta-analysis was used to investigate the comparative efficacy and acceptability of MAOIs for depressive disorders. Overall, the network meta-analysis included 52 double-blind, randomized controlled trials (RCTs) that compared 14 antidepressants or placebo. Across studies, the mean arm size was n = 58 participants from a total N = 6462 (5309 active drug; 1153 placebo). Results Except fluvoxamine, all antidepressants demonstrated superior efficacy to placebo, and none demonstrated substantially better or worse all-cause dropout rates. Phenelzine demonstrated superior evidence for efficacy compared to all other treatments, and clomipramine demonstrated superior evidence for acceptability compared to all other treatments. Limitations The study is primarily limited by low estimate precision due to a relative paucity of studies for some of the included treatment conditions. Further evidence is required to study the relative efficacy of MAOIs against newer antidepressants. Conclusions The results of this analysis largely support the re-evaluation of the use of MAOIs as antidepressant agents in the treatment algorithm of depression.

Opioid misuse and opioid-related death are a growing public health concern. One population of interest is recent trauma and/or surgery patients, who are at increased risk of developing an opioid use disorder (OUD). Although a variety of assessments have been developed to screen for risk of opioid misuse, each has limitations and prediction needs improvement. One promising measure is drug demand, a behavioral economic measure assessing drug consumption at different price points. In the current proposal, we assessed the utility of a brief assessment of opioid demand. Demand and various pain-related self-report measures among trauma-surgery patients (N = 103) were assessed at 4 weeks post-discharge. Opioid demand was significantly associated with self-report measures of pain and amount of morphine milligram equivalents (MME) received during the hospital stay. The current result support the utility of the opioid demand as an adjunctive and complementary measure to assess risk of opioid misuse. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Tract-based spatial statistics (TBSS) of diffusion tensor imaging (DTI) studies have consistently shown diminished white matter (WM) integrity for individuals with cocaine use disorder (CUD). The present study used seed-based d mapping (SDM) to determine the extent to which a systematic difference in the WM integrity of cocaine users may exist (as compared with that of healthy controls). Articles from 2006 (when TBSS was first developed) to present were reviewed, with eight selected for inclusion. Meta-analysis found lower fractional anisotropy (FA) in the genu of the corpus callosum for cocaine users, with a small-to-moderate peak effect size (Hedge's g = -0.331). Sensitivity analyses mostly supported the robustness of the obtained difference. Differences detected at exploratory thresholds for significance suggested insult to WM integrity extending beyond the corpus callosum. The present results compliment a previous region-of-interest (ROI)-based meta-analysis of DTI studies in individuals with CUD. These findings have significant implications for the potential role of neuroprotective agents in the treatment of CUD and merit additional iteration as more studies accrue in the literature.

Methamphetamine (MA) is a highly addictive stimulant with recent upward trends in prevalence and associated public health problems. Drug demand, as assessed by hypothetical purchasing tasks, has been useful in addictions research and may help our understanding of the factors influencing MA use. However, no studies have assessed MA demand using current models of demand. The purpose of the current study was to assess demand for MA using a hypothetical drug purchasing task. Given high rates of cigarette smoking among MA users, it was of interest also to assess and compare demand for MA relative to cigarettes. Participants consisted of non-treatment-seeking volunteers with MA use disorder (N = 18), of whom 17 reported daily smoking. Results showed the exponentiated demand model provided a good fit to consumption data. Results from Bayesian generalized linear modeling demonstrated multiple positive relationships (posterior probability ≥75%) between self-reported drug use (days MA used in the past 30 days, cigarettes smoked per day) and indices of demand for each drug (Qo, Omax, Pmax, and break point). Comparing MA to cigarettes, results from Bayesian generalized linear mixed modeling revealed greater abuse liability for MA compared to cigarettes (posterior probability ≥99%) based on α and essential value. Overall, the findings of the current study support the feasibility and validity of the exponentiated demand model for assessing demand for drugs among individuals with MA use disorder. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

The neural mechanisms underlying the therapeutic effects of lamotrigine in bipolar depression are still unexplored. This preliminary study compares the effects of a 12-week treatment with lamotrigine on brain volumes in adults with bipolar disorder (BD).12 BD type II patients (age: 49.33 ± 9.95 years, 3 males, 9 females) and 12 age and gender-matched healthy controls (HC) (HC; age: 41 ± 8.60 years, 3 males, 9 females). BD patients were initially administered 25 mg/day of lamotrigine, which was progressively escalated to 200 mg/d. BD participants underwent brain imaging prior to and following lamotrigine treatment. A 50% reduction in depressive scores indicated “remission”. Bayesian general linear models controlled for age, gender and intracranial volume were used to examine changes in relevant brain region following treatment. A posterior probability > 0.90 indicated evidence that there was an effect of diagnosis or remission on brain volumes. Probability distributions of interaction effects between remission and time indicated that BD responders displayed decreased amygdala, cerebellum and nucleus accumbens volumes following lamotrigine treatment. No serious adverse side effects were reported. The antidepressant effects of lamotrigine may be linked to volumetric changes in brain regions involved in mood and emotional regulation. These findings are preliminary and replication in a larger sample is warranted.

Sodium valproate (VPA) has well-established neuroprotective effects and is recommended as treatment in bipolar disorder patients. The neural effects of VPA in pediatric bipolar disorder (PBD) have yet to be established. This preliminary study explored the effects of VPA on brain structure in PBD. Fourteen PBD patients (10 males; mean = 13.43 ± 3.05 years old) underwent a structural MRI before and after a 6-week VPA treatment period. Bayesian linear mixed modeling explored seven brain region volumes as a function of dichotomous pre/post time. Results showed a decrease in amygdala volume over time. These findings need to be confirmed by large-scale, longitudinal studies.

BACKGROUND AND OBJECTIVES Delay discounting is associated with numerous clinically significant aspects of substance use disorders (SUDs). Recent studies have demonstrated that different models for assessing discounting may result in disparate conclusions. The current study compared two discounting tasks: money now versus money later (M-M) and methamphetamine now versus money later (MA-M) among non-treatment seeking individuals (N = 59) with methamphetamine use disorder (MAUD). Results from each task were assessed using three different models for assessing delay discounting. METHODS Discounting data were fit to three models of discounting, log k using Mazur's hyperbolic formula, area under the curve (AUC), and an alternative AUC model in which the delay values have been log transformed (AUClog). RESULTS For both discounting tasks, the distribution of model-related outcomes were normally distributed when using log k and AUClog, but skewed for AUC. Discounting in the MA-M task was significantly greater compared to the M-M task when using log k and AUClog but not AUC. CONCLUSION To our knowledge, the current study is the first to report significantly greater discounting in a MA-M relative to M-M discounting task among individuals with MAUD, an outcome consistent with other psychomotor stimulants and drugs of abuse. SCIENTIFIC SIGNIFICANCE The differential results observed across the three discounting models reaffirm potential issues with AUC noted in recent studies and highlight that researchers must be cautious when deciding on their final model of discounting. (Am J Addict 2018;XX:1-8).

Background Immune system abnormalities have been repeatedly observed in several psychiatric disorders, including severe depression and anxiety. However, whether specific immune mediators play an early role in the etiopathogenesis of these disorders remains unknown. Methods In a longitudinal design, component-wise gradient boosting was used to build models of depression, assessed by the Mood-Feelings Questionnaire-Child (MFQC), and anxiety, assessed by the Screen for Child Anxiety Related Emotional Disorders (SCARED) in 254 adolescents from a large set of candidate predictors, including sex, race, 39 inflammatory proteins, and the interactions between those proteins and time. Each model was reduced via backward elimination to maximize parsimony and generalizability. Results Component-wise gradient boosting and model reduction found that female sex, growth- regulated oncogene (GRO), and transforming growth factor alpha (TGF-alpha) predicted depression, while female sex predicted anxiety. Limitations Differential onset of puberty as well as a lack of control for menstrual cycle may also have been responsible for differences between males and females in the present study. In addition, investigation of all possible nonlinear relationships between the predictors and the outcomes was beyond the computational capacity and scope of the present research. Conclusions This study highlights the need for novel statistical modeling to identify reliable biological predictors of aberrant psychological behavior.

Background COVID-19 and resulting mitigation measures in the United States (US) brought about limited access to medical care that has been linked to increases in mental health problems, excessive substance use, and drug overdoses. The increase in co-prescription of benzodiazepines and opioids may indicate population-level changes in health behaviors that can be exacerbated by limited access, hence necessitating the tracking of these drugs during COVID-19. We evaluated the impact of the declaration of COVID-19 as a US national emergency on prescription patterns in 2020. Methods Prescriptions of benzodiazepines and opioids were analyzed using data aggregated on a weekly basis across 38 states over the January 2019-December 2020 period. Data were from Appriss Health Prescription Drug Monitoring Program and covered all individuals regardless of insurance status. Generalized additive models estimated the effects of the March 13, 2020 declaration on proportion of prescriptions to all controlled substances by comparing volumes before to after the week of March 13 in 2020 (range: January 27-May 24) and comparing this trend to its 2019 counterpart. Results When comparing the January 27-March 9 period to the March 16-May 24 period in 2020, there was a statistically significant 2.0% increase in the proportion of benzodiazepine dispensations to all controlled substances, and a significant 1.7% mean decrease in proportion of opioid dispensations to all controlled substances. A significant return approaching pre-declaration levels was observed only for opioids (beginning week of May 18, 2020). Conclusions The results suggest significant impacts of the COVID-19 pandemic on dispensations of benzodiazepines and opioids across the US. Continued monitoring of prescription trends and maintenance of adequate and accessible access to mental healthcare are important for understanding public health crises related to substance use.

Background Medication development research for cocaine use disorder (CUD) has been a longstanding goal in addiction research, but has not resulted in an FDA-approved treatment. Rising cocaine use rates underscore the need for efficient adaptive designs. This study compared differences between two doses of the selective serotonin reuptake inhibitor (SSRI) citalopram (versus placebo) on duration of cocaine abstinence and applied adaptive decision rules to select the ‘best efficacy’ dose. Methods A double-blind, placebo-controlled, randomized Bayesian drop-the-loser (DTL) trial with three arms compared placebo to citalopram 20 mg and 40 mg. Adults (N = 107) with CUD attended thrice-weekly clinic visits for 9 weeks. The primary outcome was longest duration of abstinence (LDA), based on continuous cocaine-negative urine drug screens (UDS). The secondary outcome was probability of cocaine-negative UDS during treatment. A planned interim analysis performed at approximately 50% of recruitment dropped the least-effective active medication. Bayesian inference was used for all analyses with a pre-specified posterior probability (PP) threshold PP ≥ 95% considered statistically reliable evidence Results Citalopram 40 mg satisfied interim efficacy criteria and was retained for the second half of the trial. For LDA, analyses indicated PP = 82% and PP = 65% of benefit for 40 mg and 20 mg, respectively (each relative to placebo). The odds of having cocaine-negative UDS decreased in all groups over 9 weeks but remained higher for 40 mg (PP = 97.4%) Conclusions Neither dose met the 95% PP threshold for the primary outcome; however, 40 mg provided moderate-to-strong evidence for positive effects on LDA and cocaine-negative UDS. The 40 mg dose was declared the “winner” in this DTL trial.

Adults experiencing homelessness are more likely to have an alcohol use disorder compared to adults in the general population. Although shelter-based treatments are common, completion rates tend to be poor, suggesting a need for more effective approaches that are tailored to this understudied and underserved population. One barrier to developing more effective treatments is the limited knowledge of the triggers of alcohol use among homeless adults. This paper describes the use of ecological momentary assessment (EMA) to identify predictors of “imminent drinking” (i.e., drinking within the next 4 h), among a sample of adults experiencing homelessness and receiving health services at a homeless shelter. A total of 78 mostly male (84.6%) adults experiencing homelessness (mean age = 46.6) who reported hazardous drinking completed up to five EMAs per day over 4 weeks (a total of 4557 completed EMAs). The study used machine learning techniques to create a drinking risk algorithm that predicted 82% of imminent drinking episodes within 4 h of the first drink of the day, and correctly identified 76% of nondrinking episodes. The algorithm included the following 7 predictors of imminent drinking: urge to drink, having alcohol easily available, feeling confident that alcohol would improve mood, feeling depressed, lower commitment to being alcohol free, not interacting with someone drinking alcohol, and being indoors. The research team used the results to develop intervention content (e.g., brief tailored messages) that will be delivered when imminent drinking is detected in an upcoming intervention phase. Specifically, we created three theoretically grounded message tracks focused on urge/craving, social/availability, and negative affect/mood, which are further tailored to a participant's current drinking goal (i.e., stay sober, drink less, no goal) to support positive change. To our knowledge, this is the first study to develop tailored intervention messages based on likelihood of imminent drinking, current drinking triggers, and drinking goals among adults experiencing homelessness.

Background Chronic cocaine users show impairments in cognitive processes associated with dopamine (DA) circuitry. Medications aimed at bolstering cognitive functions via DA modulation might enhance treatment outcome. Methods The trial used a double-blind, double-dummy, parallel-group design with four treatment arms comparing placebo (PLC) to levodopa/carbidopa 800 mg/200 mg alone (LR0), levodopa plus extended release (XR) ropinirole 2 mg (LR2) or XR ropinirole 4 mg (LR4). Adults (n = 110) with cocaine use disorder attended thrice weekly clinic visits for 10 weeks. Potential cognitive mediators assessed at week 5 consisted of measures of decision-making (Iowa Gambling Task, Risky Decision-Making Task), attention/impulsivity (Immediate Memory Task), motivation (Progressive Ratio task), and cognitive control (Cocaine Stoop task). The primary outcome measure was the treatment effectiveness score (TES) calculated as the number of cocaine-negative urines collected from weeks 6–10. Results Bayesian mediation examined indirect and total effects of the relationships between each active treatment (compared to PLC) and TES. Total (direct) effects were supported for LR0 and LR2, but not for LR4. Indirect effects were tested for each mediator. Notably, 22.3 % and 35.4 % of the total effects of LR0 and LR2 on TES were mediated by changes in attention/impulsivity. Conclusions The hypothesized mediation effect was strongest for levodopa plus 2 mg ropinirole, indicating that this DA medication combination predicted change (improvement) in attention/impulsivity, which in turn predicted change (reduction) in cocaine use. This finding provides modest support for cognitive enhancement as a target for medications to treat cocaine use disorder.

Background and aims Pioglitazone (PIO), a potent agonist of PPAR-gamma, is a promising candidate treatment for cocaine use disorder (CUD). We tested the effects of PIO on targeted mechanisms relevant to CUD: cocaine craving and brain white matter (WM) integrity. Feasibility, medication compliance, and tolerability were evaluated. Design Two-arm double-blind randomized controlled proof-of-concept pilot trial of PIO or placebo (PLC). Setting Single-site outpatient treatment research clinic in Houston, Texas, USA. Participants Thirty treatment-seeking adults with CUD. Mean [standard deviation (SD)] age was 47.8 (7.45), education was 12.7 (1.5), with 19.3 (7.8) years of reported cocaine use. Eighteen of the 30 participants (8 = PIO; 10 = PLC) completed diffusion tensor imaging (DTI) of WM integrity at pre/post-treatment. Intervention Study medication was dispensed at thrice weekly visits along with once weekly cognitive behavioral therapy for 12 weeks. Measurements Measures of target engagement mechanisms of interest included cocaine craving assessed by the Brief Substance Craving Scale (BSCS), the Obsessive Compulsive Drug Use Scale (OCDUS), a visual analog scale (VAS), and change in WM integrity. Feasibility measures included number completing treatment, medication compliance (riboflavin detection), and tolerability (side effects, serious adverse events). Findings Target engagement change in mechanisms of interest, defined as a ≥ 0.75 Bayesian posterior probability of an interaction existing favoring PIO over PLC, was demonstrated on measures of craving (BSCS, VAS) and WM integrity indexed by fractional anisotropy (FA) values. Outcomes indicated greater decrease in craving and greater increase in FA values in the PIO group. Feasibility was demonstrated by high completion rates among those starting treatment (21/26 = 80%) and medication compliance (≥80%). There were no reported serious adverse events for PIO. Conclusions Compared with placebo, patients receiving pioglitazone show a higher likelihood of reduced cocaine craving and improved brain white matter integrity as a function of time in treatment. Pioglitazone shows good feasibility as a treatment for cocaine use disorder.

Individuals with cannabis use disorders (CUD) show inhibitory control deficits and differential attention toward marijuana (MJ) stimuli. The robustness and utility of these measures in the CUD literature are somewhat equivocal. The present study was designed to increase measurement sensitivity by capitalizing on (a) individually calibrated stimulus selection based on cue reactivity patterns and (2) eye-tracking based measurement. CUD (n = 42) and non-CUD controls (n = 11) served as subjects. Subjects were first exposed to MJ and neutral pictures while measuring physiological and subjective responses on a trial by trial basis. A single reactivity index was created for each stimulus (L2 vector norm). Subject-unique high-reactivity MJ and low-reactivity neutral stimuli were then used in an eye-tracking task (pro-/antisaccade). The stimulus calibration procedure produced large reactivity differences between high/MJ and low/neutral stimuli (p.001, effect size7). CUD subjects made more overall antisaccade errors than controls (inhibitory control, p.02, effect size1), and CUD subjects (but not controls) made more errors on MJ trials versus neutral trials (attentional bias, p.002, effect size1). Within CUD subjects, L2 vector norm scores were associated with antisaccade errors (p.04), and antisaccade errors were correlated with the Perceived Stress Scale (p.03) and marginally with CUD severity (p.07). Because of precise understanding of the neural circuitry governing antisaccades (a marker in several neuro/psychiatric disorders), eye movement-based measures combined with individually determined stimuli may provide an efficient and robust marker in CUD research. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

BACKGROUND AND AIMS: Cognitive impairments are one of the primary hallmarks symptoms of bipolar disorder (BD). Whether these deficits are markers of vulnerability or symptoms of the disease is still an open debate. This study used a component-wise gradient (CGB) machine learning algorithm to identify cognitive measures that could accurately differentiate pediatric BD, unaffected offspring of BD parents, and healthy volunteers. METHODS: 59 healthy controls (HC; 11.19±3.15 yo; 30 girls), 119 children and adolescents with BD (13.31±3.02 yo, 52 girls) and 49 unaffected offspring of BD parents (UO; 9.36±3.18 yo; 22 girls) completed the CANTAB cognitive battery. RESULTS: After algorithm training, CGB achieved accuracy of 71.4% and an AUROC of 0.797 in classifying individuals as either BD or non-BD on a dataset held out for validation for testing. The strongest cognitive predictors of BD were measures of affective processing and sustained attention. Measures of cognition did not differentiate between unaffected offspring and HC. CONCLUSIONS: Our findings suggest that alterations in affective processing and sustained attention are markers of BD in pediatric populations. Longitudinal studies should determine whether UO with a cognitive profile similar to that of HC in late childhood or early adolescence are at less or equal risk for mood disorders. Future studies should include relevant cognitive measures for BD such as verbal memory and individuals’ genetic risk scores.

Background Converging lines of evidence from diffusion tensor imaging (DTI) studies reveal significant alterations in white matter (WM) microstructure in the prefrontal cortex of chronic stimulant users compared to controls, suggesting compromised axonal microstructure and/or myelin. Methods A meta-analysis of DTI-based WM integrity was conducted for white matter regions across the corpus callosum and association fibers. Articles were sourced and selected using PRISMA guidelines for systematic review and meta-analysis. Inclusion and exclusion criteria were determined by the authors in order to best capture WM integrity among individuals with primary stimulant use in comparison to healthy control subjects. Results Eleven studies that focused on region-of-interest (ROI)-based analysis of WM integrity were extracted from an initial pool of 113 independent studies. Analysis across ROIs indicated significantly lower fractional anisotropy (FA) values in stimulant use groups compared to controls with a small to moderate overall effect (Hedges’ g = -0.37, 95% CI [-0.54, -0.20]). Eigenvalues were also analyzed, revealing a significant effect for radial diffusivity (RD; Hedges’ g = 0.24, 95% CI [0.01, 0.47]) but not axial diffusivity (AD; Hedges’ g = 0.05, 95% CI [-0.20, 0.29]) or mean diffusivity (MD; Hedges’ g = 0.20, 95% CI [-0.01, 0.41]). Subgroup analyses based on specific ROIs, primary substance use, poly-substance use, and imaging technology were also explored. Conclusion Results of the present study suggest a consistent effect of compromised WM integrity for individuals with stimulant use disorders. Furthermore, no significant differences were found between cocaine and methamphetamine-based groups.

This study explored anhedonia (lack of interest or pleasure in non-drug rewards) as a potentially modifiable individual difference associated with the effectiveness of Contingency Management (CM). It also tested the hypothesis that a dopaminergic drug, levodopa (L-DOPA), would improve the effectiveness of CM, particularly in individuals high in anhedonia. The study was a single-site, randomized, double-blind, parallel group, 12-week trial comparing L-DOPA with placebo, with both medication groups receiving voucher-based CM targeting cocaine-negative urines. Participants were N = 85 treatment-seeking adults with CUD. Anhedonia was measured at baseline using a validated self-report measure and a progressive ratio behavioral measure. Treatment Effectiveness Score (TES) was defined as the total number of cocaine-negative urines submitted. Analyses based on Frequentist general linear models were not significant, but Bayesian analyses indicated a high probability (92.6%) that self-reported anhedonia was associated with poor treatment outcomes (lower TES). L-DOPA did not significantly improve outcomes, nor was the effect of L-DOPA moderated by anhedonia. While the study failed to replicate positive findings from previous studies of L-DOPA in combination with CM, it does provide preliminary evidence that anhedonia may be a modifiable individual difference associated with poorer CM outcomes.

Background Cognitive impairment is a well-established feature of bipolar disorder (BD). Comorbid BD and substance use leads to poor psychosocial and clinical outcomes. However, knowledge on the neurocognitive functioning of individuals with dual diagnosis is limited. The aim of this study is to assess the cognitive performance of subjects with BD, BD with comorbid alcohol use disorder (AUD), and BD with comorbid illicit substance use disorders (SUD) as compared to healthy individuals. Methods We included 270 inpatients and outpatients with BD and 211 healthy controls. The diagnostic of BD and substance use disorder was assessed using the Structured Clinical Interview for the Diagnostic and Statistical Manual of Mental Disorders Axis I. Demographic and clinical information were also collected. The cognitive assessment included the Wechsler Test of Adult Reading (WTAR), and a revised version of the California Verbal Learning Test (CVLT) as part of the South Texas Assessment of Neurocognition (STAN). Results The STAN was administered to 134 BD patients (100 female, M±SD: 37.37±12.74 years), 72 BD patients with AUD (40 female, M±SD: 38.42±11.82), 64 BD patients with SUD (39 female, M±SD: 34.50±10.57), and 211 healthy controls with no lifetime history of mental illness and substance use (127 female, M±SD: 34.80±12.57 years). In terms of clinical characteristics, BD+SUD showed a marginally earlier onset of illness compared to BD. Compared to HC, BD performed poorly in the immediate recall and short-delay free tests of the CVLT, while BD patients with AUD and SUD showed significant memory deficits in both the immediate recall and recognition components of the CVLT. There were no differences in memory performance between BD and BD with either AUD or SUD. Conclusions A history of substance use disorders is associated with an earlier onset of BD. BD has marked effects on processes underlying the encoding of new information, while comorbid substance use in BD impairs more specifically the recognition of previously presented information. Future longitudinal studies should evaluate the effects of AUD and SUD on illness progression and therapeutic outcomes.

Background Just-in-time adaptive interventions (JITAI) aim to prevent smoking lapse using tailored support delivered via mobile technology in the moments when it is most needed. Effective smoking cessation JITAI rely on the development of accurate decision rules that determine when someone is most likely to lapse. The primary goal of the present study was to identify the strongest predictors of first lapse among smokers undergoing a quit attempt. Methods Smokers attending a clinic-based smoking cessation program (n = 74) were asked to complete ecological momentary assessments five times daily on study-provided smartphones for 4 weeks post-quit. A three-stage modeling process utilized Cox proportional hazards regression to examine time to lapse a function of 31 predictors. First, univariate models evaluated the relationship between each predictor and time to lapse. Second, the elastic net machine learning algorithm was used to select the best predictors. Third, backwards elimination further reduced the set of predictors to optimize parsimony. Results Univariate models identified seven predictors significantly related to time to lapse. The elastic net algorithm retained five: perceived odds of smoking today, confidence in ability to avoid smoking, motivation to avoid smoking, urge to smoke, and cigarette availability. The reduced model demonstrated inadequate approximation to the non-penalized baseline model. Conclusions Accurate estimation of moments of high risk for smoking lapse remains an important goal in the development of JITAI. These results demonstrate the utility of exploratory data-driven approaches to variable selection. The results of this study can inform future JITAI by highlighting targets for intervention.

Background Depressive symptoms may contribute to cocaine use. However, tests of the relationship between depression and severity of cocaine use have produced mixed results, possibly due to heterogeneity in individual symptoms of depression. Our goal was to establish which symptoms of depression are most strongly related to frequency of cocaine use (one aspect of severity) in a large sample of current cocaine users. We utilized generalized additive modeling to provide data-driven exploration of the relationships between depressive symptoms and cocaine use, including examination of non-linearity. We hypothesized that symptoms related to anhedonia would demonstrate the strongest relationship to cocaine use. Method 772 individuals screened for cocaine use disorder treatment studies. To measure depressive symptoms, we used the items of the Beck Depression Inventory, 2nd Edition. Cocaine use frequency was measured as proportion of self-reported days of cocaine use over the last 30 days using the Addiction Severity Index. Results Models identified 18 significant predictors of past-30-day cocaine use. The strongest predictors were Crying, Pessimism, Changes in Appetite, Indecisiveness, and Loss of Interest. Noteworthy effect sizes were found for specific response options on Suicidal Thoughts, Worthlessness, Agitation, Concentration Difficulty, Tiredness, and Self Dislike items. Conclusions The strongest predictors did not conform to previously hypothesized “subtypes” of depression. Non-linear relationships between items and use were typical, suggesting BDI-II items may not be monotonically increasing ordinal measures with respect to predicting cocaine use. Qualitative analysis of strongly predictive response options suggested emotional volatility and disregard for the future as important predictors of use.

Recent advances in data science were used capitalize on the extensive quantity of data available in electronic health records to predict patient aggressive events. This retrospective study utilized electronic health records (N = 29,841) collected between January 2010 and December 2015 at Harris County Psychiatric Center, a 274-bed safety net community psychiatric facility. The primary outcome of interest was the presence (1.4%) versus absence (98.6%) of an aggressive event toward staff or patients. The best-performing algorithm, penalized generalized linear modeling, achieved an area under the curve = 0.7801. The strongest predictors of patient aggressive events included homelessness (b = 0.52), having been convicted of assault (b = 0.31), and having witnessed abuse (b = −0.28). The algorithm was also used to generate a cost-optimized probability threshold (6%) for an aggressive event, theoretically affording individualized hospital-staff coverage on the 2.8% of inpatients at highest risk for aggression, based on available hospital operating costs. The present research demonstrated the utility of a data science approach to better understand a high-priority event in psychiatric inpatient settings.

Contingency management (CM) is a reinforcement-based approach that provides tangible rewards for objectively verified drug abstinence. CM is the most effective available behavioral intervention for cocaine use disorders; however, response to CM is variable, with significant rates of nonresponse. In the present investigation, we conducted a secondary profile analysis to identify potentially modifiable cognitive-affective characteristics associated with CM response (abstinence vs. continued use) preceding a pharmacotherapy trial for cocaine dependence. Ninety-nine cocaine-dependent, treatment-seeking adults participated in a 4-week baseline CM procedure using high-value vouchers for submission of cocaine-negative urines. Separate profiles for responders and the nonresponders were established using standardized mean scores on relevant pretreatment measures of negative affect, experiential avoidance, cocaine withdrawal/craving, and impulsivity. Results indicated no differences between responder subgroups on baseline levels of negative affect, withdrawal/craving, or impulsivity; however, CM nonresponders, relative to responders, reported significantly higher levels of avoidance and behavioral inflexibility (p < .01) in the context of distressing cocaine-related thoughts, feelings, and bodily sensations. These data suggest that emotion regulation skills may serve as a therapeutic strategy for enhancing response to CM for cocaine use disorders. (PsycINFO Database Record

Synthetic cannabinoid products have become popular and have led to an increased number of patients presenting to emergency departments and psychiatric hospitals. The purpose of this study was to evaluate the impact of synthetic cannabinoid use at admission on length of stay and doses of antipsychotics at discharge in individuals with bipolar disorder, schizophrenia and other psychotic disorders. We retrospectively examined medical records of 324 inpatients admitted from January 2014 to July 2015. We found that synthetic cannabinoid use predicted length of stay and antipsychotic dose using structural equation modeling. Further, the association of synthetic cannabinoid use with length of stay was partly mediated by antipsychotic dose. These associations were independent of specific diagnosis. In conclusion, patients with bipolar disorder, schizophrenia, or other psychotic disorders who reported synthetic cannabinoid use at admission had shorter length of stay and received lower doses of antipsychotics, irrespective of clinical diagnoses.

Although cognitive impairment is a core feature of bipolar disorder (BD) there is no instrument of choice for the assessment of bipolar patients. The aim of this study is to assess cognitive performance using the Brief Assessment of Cognition in Affective Disorders (BAC-A), a comprehensive test battery developed specifically for BD, and determine its suitability to estimate global functioning.The BAC-A was administered to 93 BD patients (M ± S.E: 35.18 ± 1.39 years) and 56 healthy controls (HC - M ± S.E: 36.17 ± 1.91 years). The scores of the BAC-A were combined in eight summary scores: visuomotor, immediate affective and non-affective memory, verbal fluency, delayed affective and non-affective memory, inhibition, and problem solving. Post hoc analyses were performed on subtests of the summary scores found to be significantly different between BD patients and HC. Correlational analyses explored the association between the Global Assessment of Functioning (GAF) score and cognitive functioning.Compared to HC, BD patients showed a significant impairment in short-term non-affective memory and verbal fluency. Poorer performance in verbal memory and verbal fluency summary scores correlated positively with reduced GAF.Our results are consistent with previous reports of verbal memory and verbal fluency impairment in BD. The deficits in short-term memory and semantic fluency may indicate inefficient learning strategies and/or difficulties in retrieving information. The BAC-A could be used to estimate global functioning in BD patients.

Background Bipolar disorder (BD) is a devastating disorder with a strong genetic component. While the frontolimbic profile of individuals suffering from BD is relatively well-established, there is still disagreement over the neuroanatomical features of unaffected BD offspring. Material and methods Brain volumetric measures were obtained for 82 children and adolescents including 18 unaffected BD offspring (10.50 ± 3.37 years), 19 BD offspring suffering from psychiatric disorders (12.87 ± 3.28 years) and 45 healthy controls (HC-10.50 ± 3.37 years). Clinical diagnoses were established according to the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) criteria. Cortical reconstruction and volumetric segmentation were performed with the Freesurfer image analysis suite. Profile analyses compared frontolimbic volumes across groups. Age, gender, testing site, ethnicity and intracranial volume were entered as covariates. Results The right amygdala was significantly larger in unaffected BD offspring compared to BD offspring with psychiatric disorders and HC. Volumes of striatal, hippocampal, cingulate, and temporal regions were comparable across groups. Discussion The size of the amygdala may be a marker of disease susceptibility in offspring of BD parents. Longitudinal studies are needed to examine rates of conversion to BD as related to specific pre-morbid brain abnormalities.

Drug and Alcohol Dependence 156 (2015) e183–e245 e243 days of consecutive abstinence during treatment and positively associated with reductions in negative affect during treatment. Conclusions: These data suggest neurofunctional differences related to treatment outcomes between individuals with cocaine dependence with and without methadone treatment, which may relate to differences in the efficacies of existing treatments. Financial support: This research was supported by NIH grants from NIDA (P50 DA009241, R01 DA030058). SWY receives support from DA007238-23 (PI: Petrakis). http://dx.doi.org/10.1016/j.drugalcdep.2015.07.653 Eye tracking measures of attentional bias to individually-calibrated marijuana cues Jin H. Yoon ∗, Anka Vujanovic, Mike Weaver, Robert Suchting, C. Green, Joy Schmitz, Scott D. Lane Psychiatry and Behavioral Sciences, University of Texas Health Science Center – Houston, Houston, TX

s / Drug and Alcohol Dependence 146 (2015) e118–e201 e139 Family/social problems as a greater barrier to treatment entry for women than men Angela M. Heads, Robert Suchting, C. Green, Joy Schmitz, N. Rathnayaka, Scott D. Lane University of Texas HSC at Houston, Houston, TX