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Alcohol is responsible for an ever-increasing number of deaths worldwide, and many road accidents are caused by irresponsible drinking and driving. The use of biomarkers that can support a diagnosis of alcohol abuse is a very important tool that can improve the prevention of many alcohol-related diseases and serious traffic accidents. The main aim of our study was the full validation of a rapid and simple method by ultra-performance liquid chromatography tandem mass spectrometry (UPLC-MS/MS) to detect ethyl glucuronide in hair (hEtG). The method was successfully applied to n = 171 real hair samples collected from drivers convicted of driving while impaired by alcohol or drugs. A comparison of hEtG and serum Carbohydrate-Deficient Transferrin percentages (% CDT) was also performed to carefully evaluate the data in relation to the specific detection windows of the two different biomarkers. Most of the drivers with hEtG > 30 pg/mg were males in their thirties. None of the hEtG-positives had a serum % CDT above the cutoff (≥2%). Although some researchers suggest caution until solid data are available on the possible effects of interindividual variability that may influence EtG incorporation and metabolism, hEtG is a very useful biomarker of long-term alcohol exposure that shows greater reliability than traditional blood markers. [ABSTRACT FROM AUTHOR]

Background: Drugged driving is associated with an increased risk of road accidents worldwide. In Italy, driving under the influence (DUI) of alcohol and drugs is a reason for driving disqualification or revocation of the driving license. Drivers charged with driving under the influence of alcohol and drugs must attend a Local Medical Commission (LMC) to undergo mandatory examinations to regain the suspended license. Our study mainly aims to report on the analysis performed on hair samples collected from 7560 drivers who had their licenses suspended for drugged or drunk driving between January 2019 and June 2024. Methods: A rapid, sensitive, and selective method for the determination of ethyl glucuronide in hair by UPLC/MS-MS was developed and fully validated. Results: The most frequently detected substances were cocaine (ecgonine methyl ester, norcocaine, and benzoylecgonine) and cannabinoids (Δ9-tetrahydrocannabinol, cannabidiol, and cannabinol), followed by opiates (codeine, morphine, and 6-MAM), methadone (EDDP), and amphetamines (amphetamine, methamphetamine, MDA, MDMA, and MDEA). To perform a more in-depth analysis, we also compared hair color with the drug classes that tested positive. The results showed a significant prevalence of dark hair that tested positive for one or more substances, followed by gray/white hair and light hair. Conclusions: Our study provides an interesting and alarming insight into drug exposure in the general population with serious public health threats, discussing the main aspects of hair matrix analysis and focusing on its advantages and reliability in the interpretation of results. [ABSTRACT FROM AUTHOR]

This work is motivated by the need of efficient numerical simulations of gas flows in the serpentine channels used in proton-exchange membrane fuel cells. In particular, we consider the Poisson problem in a 2D domain composed of several long straight rectangular sections and of several bended corners. In order to speed up the resolution, we propose a 0D model in the rectangular parts of the channel and a finite element resolution in the bends. To find a good compromise between precision and time consuming, the challenge is double: how to choose a suitable position of the interface between the 0D and the 2D models and how to control the discretization error in the bends. We shall present an a posteriori error estimator based on an equilibrated flux reconstruction in the subdomains where the finite element method is applied. The estimates give a global upper bound on the error measured in the energy norm of the difference between the exact and approximate solutions on the whole domain. They are guaranteed, meaning that they feature no undetermined constants. (Global) lower bounds for the error are also derived. An adaptive algorithm is proposed to use smartly the estimator for the aforementioned double challenge. A numerical validation of the estimator and the algorithm completes the work. [ABSTRACT FROM AUTHOR]

New psychoactive substances (NPSs) are a heterogenous group of psychotropic molecules and diverted pharmaceutical drugs sold worldwide as legal substitutes for controlled drugs. The psychiatric consequences of NPS use are relatively unknown, although evidence of related psychotic symptoms has been described in the literature. We sought to summarize the available evidence on NPS-related psychiatric disorders, to facilitate the interpretation of the molecular mechanism underlying their specific pathologies. A literature search of Scopus, PubMed and Google Scholar was conducted including studies published between 2013 and 2024, in which a correlation between NPS consumption and psychiatric symptoms was reported. Furthermore, the short- and long-term psychopathological effects were included. The literature search resulted in 109 NPS-related intoxication cases in which acute or chronic psychiatric symptoms were reported, mostly related to synthetic cannabinoids, followed by synthetic cathinones, hallucinogens, natural NPSs and stimulants. The most common acute symptoms were hallucinations, aggressiveness, and psychotic and bizarre behavior, related to the molecular disbalance of neurotransmitters in the central nervous systems, with different mechanisms. The lack of clear diagnostic criteria and toxicological analyses has resulted in crucial complications in psychiatric diagnoses related to NPS intoxication. Hence, the implementation of toxicological screening procedures in emergency rooms, including the main NPS classes, should support the diagnosis of acute intoxication and its proper therapeutic treatment. Finally, proper follow-up should be implemented to assess the chronic sequelae. [ABSTRACT FROM AUTHOR]

This article, titled "Editorial: The relationship between exercise addiction, social media use, and mental health," explores the correlation between exercise addiction, social media use, and mental health. Exercise addiction is characterized by an obsessive engagement in physical exercise, which can have negative physical, psychological, and social consequences. The article discusses how social media can exacerbate the pressure to achieve an ideal body shape and the potential mental health disorders that can arise from excessive exercise. The research topic aims to collect recent studies on the adverse effects of exercise addiction on general and mental health, as well as the role of social media use in this condition. The article also includes studies on the effects of fear of missing out (FoMO) on learning burnout in medical students, the bidirectional relationships between problematic smartphone use and aggression among secondary school students, and the mediating role of resilience and interaction anxiousness in the effects of physical activity on mobile phone addiction. The article concludes by emphasizing the importance of addressing exercise addiction and its adverse effects through prompt action and evaluation by healthcare professionals. [Extracted from the article]

Background: In those countries where cannabis use is still illegal, some manufacturers started producing and selling "light cannabis": dried flowering tops containing the psychoactive principle Δ-9-tetrahydrocannabinol (THC) at concentrations lower than 0.2% together with variable concentration of cannabidiol (CBD). We here report a pilot study on the determination of cannabinoids in the oral fluid and urine of six individuals after smoking 1 g of "light cannabis". Methods: On site screening for oral fluid samples was performed, as a laboratory immunoassay test for urine samples. A validated gas chromatography-mass spectrometry (GC-MS) method was then applied to quantify THC and CBD, independently from results of screening tests. Results: On site screening for oral fluid samples, with a THC cut-off of 25 ng/mL gave negative results for all the individuals at different times after smoking. Similarly, negative results for urine samples screening from all the individuals were obtained. Confirmation analyses showed that oral fluid THC was in the concentration range from 2.5 to 21.5 ng/mL in the first 30 min after smoking and then values slowly decreased. CBD values were usually one order of magnitude higher than those of THC. THC-COOH, the principal urinary THC metabolite, presented the maximum urinary value of 1.8 ng/mL, while urinary CBD had a value of 15.1 ng/mL. Conclusions: Consumers of a single 1 g dose of "light cannabis" did not result as positive in urine screening, assessing recent consumption, so that confirmation would not be required. Conversely, they might result as positive to oral fluid testing with some on-site kits, with THC cut-off lower than 25 ng/mL, at least in the first hour after smoking and hence confirmation analysis can be then required. No conclusions can be drawn of eventual chronic users. [ABSTRACT FROM AUTHOR]