Faculty Bibliography

INTRODUCTION/BACKGROUND:Law enforcement seizure data can indicate potential shifts in drug availability. We examined trends in the size of illicit fentanyl seizures in the United States from 2018 through 2023. METHODS:Using national High Intensity Drug Trafficking Areas data, we examined trends in the weight of fentanyl powder and number of fentanyl-containing pills per seizure with a focus on federal and other common state-level weight cutoffs that indicate various levels of trafficking (e.g., 1-4 g, 40-399 g, ≥400 g). RESULTS:Between 2018 and 2023, the plurality of fentanyl powder seizures weighed 40-399 g (27.7%), followed by seizures weighing 4-39 g (25.8%), 1-4 g (18.6%), ≥400 g (17.4%), and <1 g (10.4%). During this period, there was a decrease in the percentage weighing ≥400 g (annual percentage change [APC] = -5.3, 95% confidence interval [CI] -9.4, -1.0) and an increase in the percentage weighing 1-4 g (APC = 5.6, 95% CI 3.2, 8.1). With respect to fentanyl pill seizures, the plurality contained 40-399 pills (10 = 1 g; 25.4%), followed by 400-3999 (21.8%), <10 pills (20.4%), 10-39 pills (18.6%) and ≥4000 pills (13.8%). During this period, there was a decrease in seizures of <10 pills (APC = -12.6, 95% CI -23.2, -0.7) and increases in seizures containing 400-3999 (APC = 14.0, 95% CI 5.3, 23.1) and ≥4000 pills (APC = 12.6, 95% CI 7.4, 17.8). DISCUSSION AND CONCLUSIONS/CONCLUSIONS:The size of fentanyl seizures varies greatly, with a sizeable portion legally classified as drug trafficking. While the weight of fentanyl powder seizures is decreasing, the size of pill seizures is increasing. The increasing availability of fentanyl pills in particular needs to be monitored to inform prevention and harm reduction efforts.

3,4-methylenedioxymethamphetamine (MDMA; commonly referred to as "ecstasy" or "molly") is a substituted amphetamine drug that is used recreationally for its acute psychoactive effects, including euphoria and increased energy, as well as prosocial effects such as increased empathy and feelings of closeness with others. Acute adverse effects can include hyperthermia, dehydration, bruxism, and diaphoresis. Post-intoxication phenomena may include insomnia, anhedonia, anxiety, depression, and memory impairment, which can persist for days following drug cessation. MDMA acts as a releasing agent for monoamine neurotransmitters, including dopamine (DA), norepinephrine (NE) and serotonin (5-HT), by interfering with vesicular storage and transporter function, thus increasing extracellular levels of DA, NE, and 5-HT. Medical intervention in response to adverse events is complicated by the fact that illicitly-acquired MDMA is frequently adulterated, contaminated, or outright replaced with other psychoactive drugs such as synthetic cathinones ("bath salts") or methamphetamine, often unknown to the person using the drug. This review provides background on the legal status of MDMA and its use patterns, including proposals for its use as an adjunct in psychotherapy. It also discusses the pharmacological properties, mental and physical health effects, and interactions of MDMA with other drugs, with special focus on harm reduction strategies. This information will help healthcare providers assess adverse health effects related to MDMA/ecstasy use in order to facilitate appropriate treatment strategies and improve patient outcomes.

OBJECTIVE:This analysis evaluated the validation results of the Tobacco, Alcohol, Prescription Medication, and Other Substance Use (TAPS) tool for older adults. METHODS:We performed a subgroup analysis of older adults aged ≥65 (n = 184) from the TAPS tool validation study conducted in 5 primary care clinics. We compared the interviewer and self-administered versions of the TAPS tool at a cutoff of ≥1 for identifying problem use with a reference standard measure, the modified World Mental Health Composite International Diagnostic Interview. RESULTS:The mean age was 70.6 ± 5.9 years, 52.7% were female, and 49.5% were non-Hispanic Black. For identifying problem use, the self-administered TAPS tool had sensitivity of 0.91 (95% CI: 0.75-0.98) and specificity of 0.91 (95% CI: 0.85-0.95) for tobacco; sensitivity of 0.68 (95% CI: 0.45-0.86) and specificity of 0.88 (95% CI: 0.82-0.93) for alcohol; and sensitivity 0.86 (95% CI: 0.42-1.00) and specificity 0.94 (95% CI: 0.90-0.97) for cannabis. The interviewer-administered TAPS tool had similar results. We were unable to evaluate its performance for identifying problem use of individual classes of drugs other than cannabis in this population due to small sample sizes. CONCLUSIONS:While the TAPS had excellent sensitivity and specificity for identifying tobacco use among older adults, the results for other substances lack precision, and we were unable to evaluate its performance for prescription medications and individual illicit drugs in this sample. This analysis underlines the critical need to adapt and validate screening tools for unhealthy substance use, specifically for older populations who have unique risks.

BACKGROUND:Ketamine's potential for treating depression has drawn increased clinical interest in recent years. However, despite growing therapeutic use, recreational use among individuals with depression remain underexplored. METHODS:We analyzed data from the 2015-2022 National Survey on Drug Use and Health focusing on adults in the US. Trends in past-year ketamine use, overall and by depression status, were estimated separately for 2015-2019 and 2021-2022 due to methodological changes in the survey. We also delineated correlates of ketamine use in each period, focusing on depression, sociodemographic characteristics, and other past-year drug use. RESULTS:Overall ketamine use prevalence increased from 2015 to 2019 (from 0.11 % to 0.20 %, an 81.8 % increase, p < 0.01) and from 2021 to 2022 (from 0.20 % to 0.28 %, a 40.0 % increase, p < 0.05). From 2015 to 2019, use increased among adults with and without depression (by 139.3 % [p < 0.05] and 66.7 % [p < 0.05], respectively), while from 2021 to 2022, an increase occurred only among those without depression (by 38.9 %, p < 0.05). Multivariable models revealed that depression was associated with increased odds of ketamine use in 2015-2019 (aOR = 1.80, 95 % CI: 1.12-2.89) but not in later years. New sociodemographic correlates emerged in 2021-2022, including adults aged 26-34 and those with a college degree being at higher odds for use. Various drugs (especially ecstasy/MDMA and gamma-hydroxybutyrate) were consistently associated with higher odds of use. CONCLUSION/CONCLUSIONS:We identified differential patterns and correlates of ketamine use over time. Shifts may be related to the evolving ketamine landscape and/or changing survey methodology. Monitoring of use patterns is crucial to inform prevention and harm reduction strategies.

INTRODUCTION/BACKGROUND:Cannabis use and cannabis use disorder (CUD) are associated with adverse psychosocial outcomes, but their impact on workplace absenteeism remains poorly understood. Moreover, few studies have examined the role of CUD severity. This study aims to address these gaps by examining the associations between cannabis use recency, frequency, CUD severity, and workplace absenteeism. METHODS:Cross-sectional data from a U.S. representative sample of full-time employed adults aged ≥18 from the 2021 to 2022 National Survey on Drug Use and Health (N=46,499) were analyzed. The associations between cannabis use recency, past-month cannabis use frequency, CUD severity, and workplace absenteeism (measured by self-reported number of missed days due to illness/injury and skipped work in the last 30 days) were evaluated using negative binomial regression, adjusting for sociodemographic characteristics and other substance use. Data were analyzed in 2023-2024. RESULTS:An estimated 15.9% of full-time employed adults used cannabis in the past month, with 6.5% meeting CUD criteria. Past-month cannabis use (compared to no lifetime use), more frequent past-month cannabis use (compared to no use in the past month), and each level of CUD (compared to no CUD) were associated with increased incidence of both missing work due to illness/injury and skipping work, with a dose-response relationship observed between CUD severity and skipping work (mild: adjusted incident rate ratio [aIRR]=1.60 [95% confidence interval [CI]=1.24, 2.08]; moderate: aIRR=1.98 [95% CI=1.50, 2.61]); severe (aIRR=2.87 [95% CI=2.12, 3.88]). CONCLUSIONS:Individuals with recent and frequent cannabis use and CUD are disproportionately prone to workplace absenteeism. Results support the enforcement of workplace drug prevention and treatment policies.

BACKGROUND:The spread of illicitly manufactured fentanyl is driving steep increases in US overdose deaths. Fentanyl seizures are correlated with state-level opioid-related mortality; however, more granular seizure surveillance information has the potential to better inform overdose prevention and harm reduction efforts. METHODS:Using data on fentanyl pill and powder seizures from High Intensity Drug Trafficking Areas (HIDTA), we tested associations between seizure prevalence and overdose mortality, from 2013 to 2020. The primary exposure-seizure burden-was constructed by identifying counties having high (above the median) prevalence of pill, powder, or combined pill/powder seizure burden per 100,000 population. Poisson models accounted for county demographic, law enforcement and time trends. RESULTS:During the timeframe, there were 13,842 fentanyl seizures in 606 US counties. In adjusted models, counties with a high burden of pill or powder fentanyl seizures, or both (combined pills/powder) exhibited higher total overdose mortality than non-high burden counties (pills adjusted prevalence ratio [aPR]: 1.10 [95 % confidence interval [CI]: 1.08, 1.12]; powder aPR 1.12 [CI: 1.11, 1.13]; combined pills/powder aPR: 1.27 [CI: 1.25, 1.29]). A similar pattern of associations with fentanyl seizure burden was noted for overdose deaths involving synthetic opioids (pills [aPR]: 0.99 [CI: 0.96, 1.02]; powder aPR 1.29 [CI: 1.27, 1.30]; combined pills/powder aPR 1.55 [CI: 1.52, 1.58]). CONCLUSIONS:Law enforcement data on fentanyl seizures predicts drug overdose mortality at the county-level. Integrating these data with more traditional epidemiologic surveillance approaches has the potential to inform community overdose response efforts.