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BACKGROUND AND AIMS: Drugs sold on cryptomarkets are thought to have lower levels of adulteration and higher strength compared with those sourced off-line. The present study aimed to determine whether cryptomarket and off-line-sourced 3,4-methylenedioxy-N-methamphetamine (MDMA), cocaine, amphetamine, methamphetamine and lysergic acid diethylamide (LSD) differed in adulteration and strength. DESIGN AND SETTING: A between-groups design was used to compare cryptomarket versus off-line-sourced drugs. Regression analyses controlling for year and service were conducted. Drug-checking services were conducted in Spain (Energy Control) and the Netherlands (Drugs Information and Monitoring System). CASES: The cases comprised drug samples that underwent drug checking between 2016 and 2021 and were expected to contain MDMA (tablets; n = 36 065; powder: n = 6179), cocaine (n = 11 419), amphetamine (n = 6823), methamphetamine (n = 293) and LSD (n = 1817). MEASUREMENTS: Drugs were measured for (1) matching the advertised substance (i.e. containing any amount of the expected substance); (2) strength; (3) presence of adulteration; and (4) number of adulterants. FINDINGS: The expected drug was more likely to be identified when sourced from cryptomarkets versus off-line for MDMA tablets [adjusted odds ratio (AOR) = 2.10, 95% confidence interval (CI) = 1.28-3.43], MDMA powder (AOR = 2.64, CI = 1.55-4.51), cocaine (AOR = 3.65, CI = 1.98-6.71) and LSD (AOR = 1.75, CI = 1.13-2.72). Cryptomarket-sourced MDMA powder (ß = 0.03, P = 0.012), cocaine (ß = 0.08, P < 0.001) and methamphetamine (ß = 0.15, P = 0.028) were statistically significantly higher in strength than substances from off-line sources. Conversely, MDMA tablets (ß = -0.01, P = 0.043) and amphetamine (ß = -0.07, P < 0.001) from cryptomarkets were statistically significantly lower in strength than from off-line sources. MDMA powder (AOR = 0.53, CI = 0.33-0.86) and cocaine (AOR = 0.66, CI = 0.55-0.79) were statistically significantly less likely to be adulterated if sourced from cryptomarkets. However, amphetamine (AOR = 1.54, CI = 1.25-1.90) and LSD (AOR = 1.31, CI = 1.00-1.71) were found to be more likely to be adulterated when purchased from cryptomarkets. Cocaine from cryptomarkets exhibited fewer adulterants (incidence rate ratio = 0.71, CI = 0.60-0.85). CONCLUSION: The relationship between on-line drug market-places and substance quality varies depending on both the specific substance and the dynamics of the cryptomarket.

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BACKGROUND: Opioid overdose is a global health crisis, affecting over 27 million individuals worldwide, with more than 100,000 drug overdose deaths in the United States in 2022-2023. This protocol outlines the development of the PneumoWave chest biosensor, a wearable device being designed to detect respiratory depression in real time through chest motion measurement, intending to enhance early intervention and thereby reduce fatalities. OBJECTIVE: The study aims to (1) differentiate opioid-induced respiratory depression (OIRD) from nonfatal opioid use patterns to develop and refine an overdose detection algorithm and (2) examine participants' acceptability of the chest biosensor. METHODS: The study adopts an observational design over a 6-month period. The biosensor, a small device, will be worn by consenting participants during injecting events to capture chest motion data. Safe injecting facilities (SIF) in Melbourne, Victoria (site 1), and Sydney, New South Wales (site 2), which are legally sanctioned spaces where individuals can use preobtained illicit drugs under medical supervision. Each site is anticipated to recruit up to 100 participants who inject opioids and attend the SIF. Participants will wear the biosensor during supervised injecting events at both sites. The biosensor will attempt to capture data on an anticipated 40 adverse drug events. The biosensor's ability to detect OIRD will be compared to the staff-identified events that use standard protocols for managing overdoses. Measurements will include (1) chest wall movement measured by the biosensor, securely streamed to a cloud, and analyzed to refine an overdose detection algorithm and (2) acute events or potential overdose identified by site staff. Acceptability will be measured by a feedback questionnaire as many times as the participant is willing to throughout the study. RESULTS: As of April 2024, a total of 47 participants have been enrolled and data from 1145 injecting events have already been collected, including 10 overdose events. This consists of 17 females and 30 males with an average age of 45 years. Data analysis is ongoing. CONCLUSIONS: This protocol establishes a foundation for advancing wearable technology in opioid overdose prevention within SIFs. The study will provide chest wall movement data and associated overdose data that will be used to train an algorithm that allows the biosensor to detect an overdose. The study will contribute crucial insights into OIRD, emphasizing the biosensor's potential step forward in real-time intervention strategies. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/57367.

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Wastewater-based epidemiology (WBE) is a reliable means to estimate drug consumption in a specific population. By measuring the concentration of drug residues or metabolites in wastewater, the consumption behavior pattern of a specific population can be deduced. Using the WBE method, the present study, for the first time, continuously monitored the differences in the consumption of morphine (MOR), codeine (CODE), and methamphetamine (METH) in three wastewater-treatment plants in a city and two surrounding villages in Xinjiang, China during International Workers' Day and the following week. The wastewater samples were pretreated by solid-phase extraction and then analyzed by high-performance liquid chromatography-tandem mass spectrometry. Methamphetamine was not detected in rural areas and was detected only on International Workers' Day in urban areas. According to the estimation of per capita consumption, the per capita consumption of MOR, CODE, and METH in urban inhabitants was 12.04 to 23.39, 10.44 to 16.39, and 1.31 mg/day/1000 inhabitants. The per capita consumption of MOR and CODE in rural areas was 5.19 to 8.35 and 2.56 to 3.52 mg/day/1000 inhabitants. The consumption of MOR in urban and rural areas was significantly higher than that of CODE and METH. During International Workers' Day, workdays, and weekends, the consumption of MOR and CODE in urban areas is significantly higher than that in rural areas. Compared with those on weekends, the consumption of urban MOR and CODE increased more during International Workers' Day. The consumption of MOR in urban areas showed a weekend effect. The present study can provide information for subsequent research and government departments. Environ Toxicol Chem 2024;00:1-9. © 2024 SETAC.

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BACKGROUND: In the Northern Territory (NT) of Australia, there are significant evidence gaps about illicit drug use and harms, despite having established monitoring and reporting systems. This paper reports on illicit drug use, associated harms, contributing factors, service needs and priorities in the NT from the perspective and experiences of key stakeholders engaged in providing services for, or advocating on behalf of, people who use illicit drugs in the NT. METHODS: Face-to-face and online qualitative interviews were conducted with stakeholders across urban and remote locations in the NT. Key stakeholders were service providers, including acute and primary care clinicians, representatives of Aboriginal community controlled health organisations, lived experience advocates, peak body representatives and public health executives. Qualitative data were analysed thematically. RESULTS: Four researchers interviewed 21 participants across urban (62%), and remote areas (38%) of the NT. Themes identified were: (1) Illicit drug use and harms are diverse and distinct; (2) Client support needs are complex and influenced by co-morbidities, socio-demographic and cultural factors; (3) Priority population sub-groups need targeted strategies; (4) Local service strengths can be further developed and enhanced; (5) Local services need better resourcing; (6) Invest in progressive legislative and policy reforms; and (7) Improve routine monitoring and evaluation. CONCLUSIONS: Key stakeholders described illicit drug use, harms and contributing factors, which provided insights into the local challenges. Participants emphasised that clients have complex care needs, and further investment into targeted strategies are required to improve service engagement with priority groups. Service needs included greater understanding the role of dual diagnosis and its implementation and enhancing integrated and collaborative care in both primary health and acute care contexts. The voices of people with lived experience captured in this paper must inform local strategy and policy development relating to illicit drug use, in alignment with national strategy.

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Drug consumption estimates are traditionally based on surveys or information from police seizures. Alternatively, residues of illicit drugs in untreated wastewater (influent) can be used to calculate mass loads and subsequently estimate drug consumption in the community throughout the week. For this purpose, wastewater is commonly sampled for seven consecutive days within the Sewage analysis CORe group Europe (SCORE), while other sampling schemes may be implemented in long-term studies outside this consortium. The current study demonstrates how sampling frequency of illicit drug residues in the influent of wastewater treatment plants (WWTPs) affects the derived weekly average. Thirty WWTPs were sampled over the course of 12 years and influents were analyzed for five drugs (metabolites): 3,4-methylenedioxymethamphetamine (MDMA), methamphetamine, amphetamine, benzoylecgonine (a metabolite of cocaine), and 11-nor-9-Carboxy tetrahydrocannabinol (THC-COOH). Subsequently, small and large WWTPs were grouped with a threshold of 100,000 inhabitants. After data curation, standardized loads were calculated (mg/d per 1000 inhabitants). Weekly averages of loads of the drug residues were calculated based on six scenarios (sampling one to six weekdays) and compared to the weekly average in the control situation (sampling seven weekdays) in a Monte Carlo simulation. Results indicate that drug residues with more dynamic loads over a week require more frequent sampling. The analysis illustrates that a decreased sampling frequency (4 or 5 days per week) still leads to a representative weekly average for all drugs tested when a deviation up to a factor of 1.25 is deemed acceptable. However, knowledge on typical levels is necessary to define outliers. We therefore recommend to study dynamics in drug residue loads for WWTPs before reducing sampling frequency in long term monitoring programs.

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BACKGROUND: Substance use is a global health concern and early onset among adolescents increases health risks. We explore national overall trends in prevalence and trends in socioeconomic inequalities in past year alcohol intoxication, cannabis use, and use of other illicit drugs among Norwegian adolescents (ages ∼ 15-19 years of age) between 2014 and 2022. METHOD: The present study builds on data from a nationwide repeated cross-sectional survey collected in 2014-2016 (T1), 2017-2019 (T2), 2021 (T3) and 2022 (T4). In total 415,560 adolescents (50.3% girls) completed the questionnaire during the study period. Trends in socioeconomic inequalities were assessed using the Slope Index of Inequality (SII) and the Relative Index of Inequality (RII). RESULTS: While the prevalence of alcohol intoxication remained fairly stable, the prevalence of cannabis and other illicit drug use increased between 2014 and 2022 among upper secondary school boys (13.3-17.6%, and 2.0-5.2%, respectively) and girls (8.8-12.8%, and 1.1-2.7%, respectively). Similar trends were observed among 10th-grade adolescents. Boys were more likely than girls to use cannabis or other illicit drugs, but the gender gap in cannabis use narrowed during the study period. Among upper secondary girls, use of cannabis and other illicit drugs was higher among those from less affluent backgrounds, with absolute and relative inequalities in cannabis use increasing between 2014 and 2022. Small inequalities in cannabis use and decreasing relative inequalities in the use of other illicit drug were observed among upper secondary boys. CONCLUSIONS: The increasing use of cannabis and other illicit drugs among Norwegian adolescents is concerning. Future studies should explore the underlying causes of this rise and explore the complex factors influencing adolescent substance use behaviours. A comprehensive understanding of these factors is essential for developing targeted and effective interventions.

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Efficient and reliable technologies for the on-site detection of illicit drugs are important in drug-facilitated crime investigations. However, the development of such technologies is challenging. Based on the synthetic optimization, introducing a boron ester functional group to the two furanic indicators endows the stimulus-responsive properties synergistically. The ring-opening reaction of the indicators in the presence of amine-containing illicit drugs generated well-known donor-acceptor Stenhouse adducts, accompanied by strong color changes. A small-size and lightweight laminated sensor was integrated based on the outstanding ratiometric variations of the two active furanic indicators. A prototype platform was fabricated equipped with a circuit control, a mini pump, and a signal processing system. A user-friendly detection and efficient screening of amine-containing illicit drugs, including phenethylamines, amphetamines, cathinones, and tryptamines in the liquid states were conducted. The ratiometric response of the sensor was linear in the concentration range of 2.1-10.6 µg·mL-1 for methamphetamine·HCl and methcathinone ·HCl. The detection limits for the two illicit drugs at the sublevel (ng·mL-1) were found to be 8.4 and 9.0 ng·mL-1, respectively. Double-blind field tests and different illicit drugs were evaluated with good screening capability. Successful trials showed the potential applications of the developed prototype platform for efficient and on-site analytical determination.

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BACKGROUND: ST-segment elevation myocardial infarction (STEMI) is a critical condition characterized by the sudden obstruction of one or more coronary arteries, resulting in diminished blood flow to the heart muscle. This acute ischemic event demands swift and precise intervention to minimize myocardial damage and preserve cardiac function. Opioids, a class of potent analgesic medications, are frequently utilized in the management of STEMI-related chest pain. Despite their efficacy in alleviating discomfort, their use in this context warrants careful consideration due to potential adverse effects and interactions.  Methods: In this large nationwide retrospective observational study, we evaluated the effect of opioid dependence on inpatient mortality, length of hospitalization, and cost of hospitalization of patients with STEMI. Data was collected for 2019 from various hospitals across the United States using the National Inpatient Sample (NIS) through the Healthcare Cost and Utilization Project (HCUP). Using the International Classification of Diseases-10 codes (ICD-10), we identified a primary diagnosis of STEMI in patients over the age of 18, as well as a secondary diagnosis of opioid dependence.  Complex samples and multivariable logistic and linear regression models were used to determine the association of opioid dependence on inpatient mortality, length of hospitalization, and cost of hospitalization of patients with STEMI. Of the patients who fit our criteria, we identified other comorbidities and diagnoses associated with them as potential confounders including drug abuse, hypertension, diabetes, alcohol use, obesity, peripheral vascular disease, and chronic lung disease. Other confounders that were adjusted for include race, Charlson Comorbidity index, median household income, insurance, hospital region in the US, hospital bed size, and teaching status of the hospital.  Results: A total of 661,990 patients presented to a hospital with a primary diagnosis of STEMI in 2019. The majority of the patients were male with a mean age of 62.5+/-3.4 and were Caucasian American. Patients who were opioid dependent were found to be on average younger, earned less than the 25th percentile household income, had a higher history of illicit drug and alcohol use, and had Medicaid. They were also found to have higher rates of chronic lung disease at 39.2%, compared to 21.4.% in patients who were not opioid-dependent. Patients who were not opioid dependent were found to have higher rates of hypertension and type 2 diabetes mellitus. Inpatient mortality and cost of hospitalization in STEMI patients with opioid dependence were not statistically different compared to those who were not opioid dependent. However, STEMI patients who were opioid dependent did have an associated longer length of hospitalization.  Conclusion: Opioid use for pain relief in acute coronary syndrome, particularly STEMI, is a mainstay of treatment. Our retrospective cohort dived into assessing the relationship between opioid dependence on its effect on inpatient mortality, length of stay, and cost of hospitalization in STEMI patients. Our study showed that opioid dependence has no significant impact on inpatient mortality. However, it was associated with a longer length of hospital stay in STEMI patients. Further studies may be warranted into the effects of opioid dependence on the length of hospitalization in STEMI patients. .

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Patients presenting to the ED after using illicit drugs, including novel psychoactive substances, are a unique source of information on substances that are directly causing acute harm in the community. Conventionally, illicit drug intoxications are assessed and managed in EDs based on self-report and presenting symptoms, with no objective data on the causative agent. The Emerging Drugs Network of Australia (EDNA) is a national toxico-surveillance system that provides analytic data on these drugs, from sentinel Emergency Departments. It is a collaborative national network of emergency physicians, toxicologists, forensic laboratories and public health authorities. The key benefit of EDNA is the capacity to provide timely laboratory-confirmed toxicology data on emerging drug-related threats in the community. This leads to improvements in clinical, forensic laboratory and public health harm reduction responses, reflecting rapid translation of the research.

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BACKGROUND AND AIMS: Illicit drug consumption is associated with public health effects and criminal activities. This study aimed to estimate Illicit drug consumption and annual market in the Netherlands from wastewater analysis of drug residues. METHODS: Residues of cocaine, amphetamine and 3,4-methylene dioxymethamphetamine (MDMA) were measured between 2015 and 2022 in 30 Dutch wastewater treatment plants serving both rural and urban populations. These wastewater treatment plants covered 20% of the total Dutch population. The Dutch annual retail market was estimated by extrapolating consumption to the total Dutch population, back-calculating consumption volume, correcting for drug purity and street price collected in voluntary checking services, and accounting for the correlation of consumption and urbanity. RESULTS: The per capita MDMA and cocaine consumption correlated positively with the urbanity of the wastewater treatment plant catchments with r2 of 31% and 64%, respectively. Amphetamine did not show a significant correlation with urbanity. The three studied drugs were conservatively estimated to cover an average annual market value of 903 (95% prediction interval 829 to 987) million Euro for the studied period. Market estimations from prevalence figures and interceptions of international trade were similar. CONCLUSIONS: Illicit drug consumption in the Netherlands appears to correlate positively with urban (in contrast to rural) areas. Wastewater analysis can be used to estimate the volume and monetary value of illicit drug markets as a proof of concept.

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Recreational drug abuse constitutes a serious health problem worldwide. Consumption of cocaine, amphetamine-type stimulants, opioids and cannabis can lead to multiple acute and chronic cardiopulmonary complications, resulting in high morbidity and mortality. These complications may be first detected at imaging, since clinical presentation is usually non-specific. Cardiovascular complications include myocardial infarction, endocarditis, aortic dissection, infectious pseudoaneurysm, retained needle fragments, cardiomyopathy and pulmonary arterial hypertension. Pulmonary complications encompass pulmonary oedema, crack lung, pneumonia, septic emboli, barotrauma, airway disease, emphysema and excipient lung disease. Knowledge of the cardiopulmonary imaging manifestations of illicit drug use in conjunction with clinical history and a high grade of suspicion enable an accurate diagnosis and appropriate management plan. In this article we aim to provide a pictorial review of the most frequent cardiopulmonary manifestations of recreational drugs, emphasizing the underlying pathophysiologic mechanisms and the various imaging appearances.

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The efficient and accurate analysis of illicit drugs remains a constant challenge in Australia given the high volume of drugs trafficked into and around the country. Portable drug testing technologies facilitate the decentralisation of the forensic laboratory and enable analytical data to be acted upon more efficiently. Near-infrared (NIR) spectroscopy combined with chemometric modelling (machine learning algorithms) has been highlighted as a portable drug testing technology that is rapid and accurate. However, its effectiveness depends upon a database of chemically relevant specimens that are representative of the market. There are chemical differences between drugs in different countries that need to be incorporated into the database to ensure accurate chemometric model prediction. This study aimed to optimise and assess the implementation of NIR spectroscopy combined with machine learning models to rapidly identify and quantify illicit drugs within an Australian context. The MicroNIR (Viavi Solutions Inc.) was used to scan 608 illicit drug specimens seized by the Australian Federal Police comprising of mainly crystalline methamphetamine hydrochloride (HCl), cocaine HCl, and heroin HCl. A number of other traditional drugs, new psychoactive substances and adulterants were also scanned to assess selectivity. The 3673 NIR scans were compared to the identity and quantification values obtained from a reference laboratory in order to assess the proficiency of the chemometric models. The identification of crystalline methamphetamine HCl, cocaine HCl, and heroin HCl specimens was highly accurate, with accuracy rates of 98.4 %, 97.5 %, and 99.2 %, respectively. The sensitivity of these three drugs was more varied with heroin HCl identification being the least sensitive (methamphetamine = 96.6 %, cocaine = 93.5 % and heroin = 91.3 %). For these three drugs, the NIR technology provided accurate quantification, with 99 % of values falling within the relative uncertainty of ±15 %. The MicroNIR with NIRLAB infrastructure has demonstrated to provide accurate results in real-time with clear operational applications. There is potential to improve informed decision-making, safety, efficiency and effectiveness of frontline and proactive policing within Australia.

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PURPOSE: Deaths due to substance poisoning, alcohol-related disease, and suicide pose a critical public health issue, and have been categorized as "deaths of despair" in the US. Whether these deaths represent a distinct phenomenon requires exploration, particularly in other countries. METHODS: This retrospective observational study examines age-period-cohort trends of (combined and cause-specific) substance poisoning, alcohol-related disease, and suicide deaths among Australians aged ≥15-years that occurred between 1980 and 2019 and compares trends between males and females. RESULTS: Combined mortality rates were initially (1980-1999) relatively stable, reflecting a reduction in alcohol-related disease deaths offset by an increase in substance poisoning deaths. A decline (2000-2006) and subsequent increase (2007-2019) in combined rates were primarily attributable to corresponding changes in both substance poisoning and suicide deaths among males. Distinct age-period-cohort trends were observed between cause of death sub-types, with net drifts: increasing for male (net drift [95% CI]: 3.33 [2.84, 3.83]) and female (2.58 [2.18, 2.98]) substance poisoning deaths; decreasing among male alcohol-related disease (- 1.46 [- 1.75, - 1.16]) and suicide deaths (- 0.52[- 0.69, - 0.36]); and remaining relatively stable for female alcohol-related disease (- 0.28 [- 0.66, 0.09]) and suicide deaths (- 0.25 [- 0.52, 0.01]). CONCLUSIONS: Although combined age-specific trends were relatively stable over the study period, different and distinct patterns were observed within cause-specific deaths, challenging the notion that these causes of death represent a distinct epidemiological phenomenon. These data indicate a critical need to review the appropriateness of guidance for clinical practice, prevention strategies, and policy initiatives aimed at preventing future deaths.

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Background: In 2019, it was estimated that approximately 1.4 million adults in the United Kingdom purchased illicit cannabis to self-treat chronic physical and mental health conditions. This analysis was conducted following the rescheduling of cannabis-based medicinal products (CBMPs) in the United Kingdom but before the first specialist clinics had started treating patients. Objective: The aim of this study was to assess the prevalence of illicit cannabis consumption to treat a medically diagnosed condition following the introduction of specialist clinics that could prescribe legal CBMPs in the United Kingdom. Methods: Adults older than 18 years in the United Kingdom were invited to participate in a cross-sectional survey through YouGov between September 22 and 29, 2022. A series of questions were asked about respondents' medical diagnoses, illicit cannabis use, the cost of purchasing illicit cannabis per month, and basic demographics. The responding sample was weighted to generate a sample representative of the adult population of the United Kingdom. Modeling of population size was conducted based on an adult (18 years or older) population of 53,369,083 according to 2021 national census data. Results: There were 10,965 respondents to the questionnaire, to which weighting was applied. A total of 5700 (51.98%) respondents indicated that they were affected by a chronic health condition. The most reported condition was anxiety (n=1588, 14.48%). Of those enduring health conditions, 364 (6.38%) purchased illicit cannabis to self-treat health conditions. Based on survey responses, it was modeled that 1,770,627 (95% CI 1,073,791-2,467,001) individuals consume illicit cannabis for health conditions across the United Kingdom. In the multivariable logistic regression, the following were associated with an increased likelihood of reporting illicit cannabis use for health reasons-chronic pain, fibromyalgia, posttraumatic stress disorder, multiple sclerosis, other mental health disorders, male sex, younger age, living in London, being unemployed or not working for other reasons, and working part-time (P<.05). Conclusions: This study highlights the scale of illicit cannabis use for health reasons in the United Kingdom and the potential barriers to accessing legally prescribed CBMPs. This is an important step in developing harm reduction policies to transition these individuals, where appropriate, to CBMPs. Such policies are particularly important considering the potential risks from harmful contaminants of illicit cannabis and self-treating a medical condition without clinical oversight. Moreover, it emphasizes the need for further funding of randomized controlled trials and the use of novel methodologies to determine the efficacy of CBMPs and their use in common chronic conditions.

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The adsorption of 11-nor-9-carboxy-∆9-tetrahydrocannabinol (THC-COOH) by the suspended particles in sewage makes it fail to accurately monitor cannabis abuse. In this work, the model sewage sample was prepared through equivalent mixing the sewage from 10 different sewage treatment plants in Guangdong province of China and used as a comprehensive representative for investigating the adsorption and release behavior of THC-COOH on the suspended particles under different temperature and pH. The solid-liquid distribution of THC-COOH in sewage depended strongly on the adsorption and release properties which were susceptible to the temperature and pH, specially adjusting pH to 11.0 could release more than 90 % of THC-COOH from the suspended particles. By means of the kinetics models, pseudo-second-order kinetic and Weber-Morris models revealed the mechanism of adsorption and release of THC-COOH in sewage that was a relatively reversible and controllable process with multiple interactions, and then it was further confirmed by the validation experiment in a variety of actual sewage samples. According to the suggested pH, the modification of the existing detection protocol prior to high performance liquid chromatography-tandem triple quadrupole mass spectrometry (HPLC-TQ-MS/MS), was successfully applied to determination of THC-COOH in the stimulated positive samples, and the recoveries and RSDs were respectively 95.48-99.79 % and 4.0-5.6 %. The finding could greatly help improving the accuracy of not only the detection of THC-COOH in sewage but also the estimation data of the consumption level of cannabis in the related regions.

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OBJECTIVES: The illicit cigarette trade endangers public health because it increases access to cheaper tobacco products, hence fueling the tobacco epidemic and undermining tobacco control policies. The objective of this study was to evaluate the execution of an illicit cigarette eradication program under the jurisdiction of the local government in Indonesia. We sought to provide insights into the effectiveness of current policies and their impact on the illicit cigarette trade in line with the World Health Organization Framework Convention on Tobacco Control (WHO FCTC) protocol to eliminate illicit trade in tobacco products. METHODS: We conducted semistructured interviews with key policy-makers and semistructured FGDs with consumers and small- to medium-scale cigarette manufacturers at the district level. We indentified Pasuruan and Kudus as the districts or cities with the highest proportion of DBH CHT, and Jepara and Malang as a district with a highest illicit cigarette incident. We used reflective thematic analysis to identify the important opportunities and challenges facing illicit cigarette eradication programs in the three districts. RESULTS: We identified four opportunities and four challenges related to illicit cigarette eradication program implementation under the local government. The opportunities for illicit cigarette eradication lie in strong central government regulatory and multisectoral authority support, consumer awareness, and local governments' commitment to tobacco supply chain control. The key challenges facing illicit cigarette eradication include ineffective public dissemination programs, rapidly changing regulatory designs, consumers' preferences for illicit products, and a lack of industrial involvement in tobacco supply chain control programs. CONCLUSION: In addition to significant budget allocation and increasing consumer awareness, local programs to eradicate illicit cigarette production require considerable evaluation to rethink the program's design and external stakeholders' engagement within the local government's scope.

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INTRODUCTION: Harm reduction strategies at music festivals seek to create a safer environment for patrons. The Emerging Drugs Network of Australia-Victoria (EDNAV) project is a state-wide toxicosurveillance network that derives drug intelligence from a sample of patients presenting to hospital with illicit drug-related toxicity. This publication describes the preliminary outcomes of conducting toxicosurveillance for critically unwell festival patrons within on-site medical facilities. METHODS: Blood samples were collected from patrons who presented with severe illicit drug-related toxicity across three festivals (2022/2023). Blood samples were analysed via liquid chromatography-tandem mass spectrometry for over 700 pharmaceutical and illicit drugs. RESULTS: There were 1603 individual medical encounters across the festivals, 228 of which were illicit drug related. A blood sample was collected for 24 patients, with a median age of 22 years (range 18-39 years). A median of two drugs (range 1-5 drugs) were reported and four drugs (range 0-8 drugs) were analytically confirmed per patient. The most frequently reported exposures were congruent with analytical results, 3,4-methylenedioxymethamphetamine (reported n = 17, detected n = 20), ketamine (reported n = 9, detected n = 13) and cocaine (reported n = 9, detected n = 12). An unreported illicit drug and/or new psychoactive substance (NPS) was detected in 18 patients, including methylamphetamine (n = 10), a cathinone (n = 7), benzodiazepine-type NPS (n = 6), N-ethylamphetamine (n = 1), 3-hydroxyphencyclidine (n = 1) and/or 4-hydroxy-N-methyl-N-isopropyltryptamine (n = 1). DISCUSSION AND CONCLUSIONS: EDNAV toxicosurveillance serves as an additional tool within a multi-faceted approach to harm reduction at festivals. Continued data collection will allow for the characterisation of high-risk drug use patterns to provide evidence-based messaging to festival patrons and key stakeholders.

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Background: X-ray absorption spectroscopy (XAS) is a widely used substance analysis technique. It bases on the different absorption coefficients at different energy level to achieve material identification. Additionally, the combination of spectral technology and deep learning can achieve auto detection and high accuracy in material identification.Objectives: Current methods are difficult to identify drugs quickly and nondestructively. Therefore, we explore a novel approach utilizing XAS for the detection of prohibited drugs with common X-ray tube source and photon-counting (PC) detector.Method: To achieve automatic, rapid, and accurate detection of drugs. A CdTe detector and a common X-ray source were used to collect data, then dividing the data into training and testing sets. Finally, the improved transformer encoder model was used for classification. LSTM and ResU-net models are selected for comparation.Result: Fifty substances, which are isomers or compounds with similar molecular formulas of drugs, were selected for experiment substances. The results showed that the improved transformer model achieving 1.4 hours for training time and 96.73% for accuracy, which is better than the LSTM (2.6 hours and 65%) and ResU-net (1.5 hours and 92.7%).Conclusion: It can be concluded that the attention mechanism is more accurate for spectral material identification. XAS combined with deep learning can achieve efficient and accurate drug identification, offering promising application in clinical drug testing and drug enforcement.

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Forensic chemistry literature has grown exponentially, with many analytical techniques being used to provide valuable information to help solve criminal cases. Among them, matrix-assisted laser desorption/ionization mass spectrometry (MALDI MS), particularly MALDI MS imaging (MALDI MSI), has shown much potential in forensic applications. Due to its high specificity, MALDI MSI can analyze a wide variety of compounds in complex samples without extensive sample preparation, providing chemical profiles and spatial distributions of given analyte(s). This review introduces MALDI MS(I) to forensic scientists with a focus on its basic principles and the applications of MALDI MS(I) to the analysis of fingerprints, drugs of abuse, and their metabolites in hair, medicine samples, animal tissues, and inks in documents.

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In the United States, illicit fentanyl is often trafficked as blue tablets mimicking the legitimate M-30 oxycodone tablet produced by Mallinckrodt. The analysis of dyes extracted from seized fentanyl tablets could provide a useful tool for law enforcement to establish linkages between cases and could prove useful for attributing a seizure to a given trafficking organization. Fentanyl tablet seizures associated with a particular drug trafficking organization (DTO), either through investigative or intelligence information, were used as the sample set for this study. The blue dye from the tablets was isolated by solid phase extraction and then qualitatively and quantitatively analyzed via ultraviolet-visible spectroscopy. This research revealed that the illicit tableting facilities use a different dye than several known pharmaceutical companies. The concentration of dye in individual tablets within a seizure proved to be very minimal, and the small sample size made it difficult to draw linkages from case to case. Analysis of the dyes could not effectively differentiate between the drug trafficking organizations in the tested population due to each DTO using the same dye; however, it is important to note that the dye found was consistent between illicit tablets.