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Hair is the matrix of choice for investigating a subject's drug history over time, usually with specific forensic applications (license renewal, workplace drug testing, toxicological evaluation), and it is generally considered difficult to be tampered with. Nevertheless, some treatments promising to lower drug concentrations in hair are described online as how to “pass” a drug test. We selected three of these practices, claiming to be effective in decreasing drug concentrations—Treatment 1: (A) baking soda, (B) salicylic acid, (C) bleach; Treatment 2: (A) bleaching and (B) dyeing; Treatment 3: (A) white vinegar, (B) salicylic acid moisturizer, (C) liquid cleanser, and (D) dyeing. Quantitative results were compared with those of untreated hair strands, used as reference. We evaluated the efficacy of the treatment on drugs of abuse and benzodiazepines. Treatment 1 proved to be the most effective, since drug concentrations in treated hair were significantly lower than in untreated ones, although methadone and tetrahydrocannabinol (THC) seemed to be less affected than cocaine and 6-monoacetylmorphine (MAM). The mean percentage values of treatment-induced decrease were up to 90% for cocaine, 81% for benzoylecgonine, 77% for morphine, 89% for MAM, 37% for methadone, 67% for ketamine, 80% for MDMA, 76% for methamphetamine, and 60% for THC, compared with the reference samples. There was no noticeable damage or discoloration of the keratin matrix, making it difficult for the technicians to determine if there was a treatment. This could be an issue for the application of cutoffs or when low concentrations of drugs are incorporated into the keratinic matrix.

The present study focuses on the association between road accidents and the presence of drugs of abuse markers in the biological fluids of the drivers. Biological fluids collected from 1236 drivers involved in road accidents (54 fatal and 1182 non-fatal crashes) in the Rome area were analyzed for alcohol and psychotropic drugs, as required by judicial authorities. The substance most frequently detected was alcohol (in 19% of non-fatal and 32% of fatal crashes), followed by cannabinoids (12% of non-fatal crashes) and cocaine (9% of non-fatal and 20% of fatal crashes). The results obtained for cocaine and cannabinoids in blood and urine were compared. We observed the absence or low concentrations of the active drug in blood (cocaine was often below 5 ng/ml and THC below 1 ng/ml), whereas urinary concentrations of metabolites were generally high (benzoylecgonine 250–above 5000 ng/ml, THCCOOH 15–270 ng/ml). The risk of being involved in a road accident if cocaine or cannabis markers were present in the urine specimens was evaluated compared to a control population. The odds ratios calculated, being 8.13 for cannabis and 5.32 for cocaine, suggest a strong association between the presence of these drugs in the urine of drivers and traffic accidents, regardless of their presence in blood samples. The present data suggest that the chance of being involved in a road accident is higher than in the control population even if the subject is no longer “under the influence” of cannabis or cocaine at the time of the accident.

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The emerging market of new psychoactive substances (NPSs) is a global-scale phenomenon, and their identification in biological samples is challenging because of the lack of information about their metabolism and pharmacokinetic. In this study, we performed in silico metabolic pathway prediction and in vivo metabolism experiments, in order to identify the main metabolites of mephtetramine (MTTA), an NPS found in seizures since 2013. MetaSiteTM software was used for in silico metabolism predictions and subsequently the presence of metabolites in the blood, urine, and hair of mice after MTTA administration was verified. The biological samples were analyzed by liquid chromatography coupled with high-resolution mass spectrometry (LC–HRMS) using a benchtop Orbitrap instrument. This confirmed the concordance between software prediction and experimental results in biological samples. The metabolites were identified by their accurate masses and fragmentation patterns. LC–HRMS analysis identified the dehydrogenated and demethylated-dehydrogenated metabolites, together with unmodified MTTA in the blood samples. Besides unmodified MTTA, 10 main metabolites were detected in urine. In hair samples, only demethyl MTTA was detected along with MTTA. The combination of MetasiteTM prediction and in vivo experiment was a powerful tool for studying MTTA metabolism. This approach enabled the development of the analytical method for the detection of MTTA and its main metabolites in biological samples. The development of analytical methods for the identification of new drugs and their main metabolites is extremely useful for the detection of NPS in biological specimens. Indeed, high throughput methods are precious to uncover the actual extent of use of NPS and their toxicity.

Context: The illegal market of counterfeit and falsified medicines and supplements containing unlabeled pharmaceuticals is expanding worldwide. They are usually referred to by the term “performance and image enhancing drugs” (PIEDs) and are mainly steroids, stimulants, hormones, and drugs for erectile dysfunction. PIEDs are easily accessible through the online or black markets. We analyzed over 400 such medicines confiscated in Italy in the period 2017–2019, to determine their composition. Methods: Confiscated products were analyzed by gas chromatography/mass spectrometry and liquid chromatography/high-resolution mass spectrometry, in order to ascertain their composition and to evaluate the correspondence between what was declared on the label and the actual content, or to identify unknown products. Results: The most commonly found substance was anabolic steroids, found in 64% of products, with 11% containing hormone modulators, 6% stimulants, 6% sexual enhancers (mainly sildenafil) and other drugs, including thyroid hormones, melanin stimulators, and vitamins. These substances were often in mixtures. The products were often mislabeled, containing contaminants in addition to the drug declared, or consisted of a drug completely different from the one reported on the label. Fifteen percent of products had a qualitative composition completely different from that declared, while 10% of products showed cross-contamination with other drugs, mainly testosterone esters, probably due to the presence of residues of other drugs in the production line. In addition, 11% of products were not labeled, so their purported composition was unknown. Discussion: PIEDs pose a threat to public health. The main risks are related to the intrinsic toxicity of the substances found, especially when taken without a therapeutic indication. Another issue is related to the mislabeling of the fake medicines, and the poor-quality standard of counterfeit product preparation, with additional risks of