Faculty Bibliography

BACKGROUND:Little is known regarding how the COVID-19 pandemic has affected patterns of drug use in the United States. Because drug seizures can serve as a proxy for drug availability, we examined shifts in drug seizures in the US during the pandemic. METHODS:We examined trends in seizures of marijuana, cocaine, methamphetamine, heroin, and fentanyl within five High Intensity Drug Trafficking Areas-Washington/Baltimore, Chicago, Ohio, New Mexico, and North Florida. Trends were examined for number and total weight of seizures from March 2019 through September 2020 using Joinpoint regression. RESULTS:Significant decreases in seizures involving marijuana (β = -0.03, P = 0.005) and methamphetamine (β = -0.02, P = 0.026) were detected through April 2020, and then seizures of marijuana (β = 0.10, P = 0.028) and methamphetamine (β = 0.11, P = 0.010) significantly increased through September 2020. The number of seizures involving marijuana and methamphetamine peaked in August 2020, exceeding the highest pre-COVID-19 number of seizures. Fentanyl seizures increased overall (β = 0.05, P < .001), but did not significantly drop during the start of COVID-19, and significant changes were not detected for cocaine or heroin. We also detected a significant increase in weight of marijuana seized from April through September 2020 (β = 0.40, P = .001). The weight of marijuana seized in August 2020 exceeded the highest pre-COVID-19 weight. CONCLUSION/CONCLUSIONS:The COVID-19 pandemic was associated with an immediate decrease in marijuana and methamphetamine seizures, and then increases throughout 2020 with some months exceeding the number (and weights) of seizures from the previous year. More research is warranted to determine the extent to which these seizures reflect changes in drug use.

BACKGROUND:Prevalence of cannabis use has been increasing among select subgroups in the US; however, trend analyses typically examine prevalence of use across years. We sought to determine whether there is seasonal variation in use. METHODS:We conducted a secondary analysis of the National Survey on Drug Use and Health, a repeated cross-sectional survey of nationally representative probability samples of noninstitutionalized populations age ≥12 in the US. Quarterly trends in any past-month cannabis use were estimated using data from 2015-2019 (N = 282,768). RESULTS:Prevalence of past-month cannabis use increased significantly from 2015 to 2019 from 8.3%-11.5%, a 38.2 % increase (P < 0.001). Prevalence increased across calendar quarters on average from 8.9 % in January-March to 10.1 % in October-December, a 13.0 % increase (P < 0.001). Controlling for survey year and participant demographics, each subsequent quarter was associated with a 6% increase in odds for use (aOR=1.06, 95 % CI: 1.04-1.07). There were significant increases by quarter among all subgroups of sex, race/ethnicity, education, and among most adult age groups (Ps<0.05), with a 52.7 % increase among those age ≥65. Prevalence also significantly increased among those without a medical cannabis prescription and those not proxy-diagnosed with cannabis use disorder (Ps<0.01), suggesting recreational use may be driving increases more than medical or more chronic use. Those reporting past-year LSD or blunt use in particular were more likely to report higher prevalence of use later in the year (a 4.9 % and 3.3 % absolute increase, respectively; Ps<0.05). CONCLUSION/CONCLUSIONS:The prevalence of cannabis use increases throughout the year, independently of annual increases.

BACKGROUND AND OBJECTIVES/OBJECTIVE:Electronic dance music (EDM) party attendees who use ecstasy (3,4-methylenedioxymethamphetamine [MDMA], Molly) are at high risk for ingesting adulterant drugs, but little is known regarding trends in exposure. We sought to determine whether adulteration has shifted in recent years. METHODS:Adults entering EDM events at nightclubs and dance festivals in NYC were surveyed in 2016 and 2019. We tested hair samples from a subsample of those reporting past-year ecstasy use using ultra-high performance liquid chromatography-tandem mass spectrometry. Differences in unreported drug exposure and suspected adulteration were compared between 2016 (n = 90) and 2019 (n = 72). RESULTS:MDMA detection was stable at 72-74%. We detected decreases in unreported use of methamphetamine (from 22.2% to 5.6% [P = .003], an 74.8% decrease), new psychoactive substances (from 31.1% to 2.8% [P < .001], a 91.0% decrease), and synthetic cathinones in particular (from 27.8% to 2.8% (P < .001, an 89.9% decrease). Unreported ketamine exposure increased from 18.9% to 34.7% (P = .022, an 83.6% increase). We also detected decreases in participants' suspicion of their ecstasy being adulterated with methamphetamine (from 20.0% to 5.6% [P = .010], an 72.0% decrease) and "bath salts" (synthetic cathinones, from 8.9% to 1.4% [P = .044], an 84.3% decrease). DISCUSSION AND CONCLUSIONS/CONCLUSIONS:Unknown exposure to adulterants among people who use ecstasy in the EDM scene is shifting. Monitoring of exposure to adulterants is needed to inform harm reduction. SCIENTIFIC SIGNIFICANCE/CONCLUSIONS:This was among the first studies to examine unintentional exposure to drugs over time in this population and unintentional exposure to synthetic cathinones in particular appears to be declining. (Am J Addict 2020;00:00-00).

Background: Little is known about how COVID-19-related social distancing has affected illegal drug use. We surveyed electronic dance music (EDM) partygoers-a population known for high levels of drug use-to determine whether their drug use patterns had changed during state-mandated social distancing in New York. Methods: Individuals were recruited online and screened for eligibility throughout April and May 2020. We surveyed 128 eligible adults and queried, retrospectively, whether their drug use behavior had changed during COVID-19-related social distancing. Results: Most participants reporting past-three-month use reported decreased frequency of use during COVID-19-related social distancing. Specifically, 78.6% reduced frequency of use of cocaine, 71.1% reduced frequency of use of ecstasy/MDMA/Molly, and 68.0% reduced frequency of use of LSD. Although some participants reported increased frequency of use of cocaine (7.1%), ecstasy (7.9%), or LSD (12.0%), 35.0% reported increased frequency of cannabis use. Most (66.7%) of those reporting cocaine use reduced the amount used. The majority of those reporting use of cannabis, ecstasy, cocaine, and/or LSD reported that drug cost (80.0-84.0%) and drug quality (84.2-92.0%) did not change during social distancing. Having a college degree was associated with higher odds for decreasing frequency of cannabis use. Older participants (ages ≥23) were at lower odds for decreasing frequency of cocaine use, as were those earning >$500 per week, and participants who attended EDM events biweekly or more often were at higher odds for decreasing frequency of LSD use. Conclusions: Participants in this sample tended to reduce party drug use during COVID-19-related social distancing.

BACKGROUND:A variety of substance use-related topics are discussed in the public discourse; however, it is unknown how public discussion of published substance-related findings relates to manuscript downloads and citations. This manuscript examines how traditional and social media coverage of published findings about substance use affects downloads and scientific citations. METHODS:percentile of downloads and citations. RESULTS:73.3 % of articles were shared on Twitter, 23.6 % were shared on Facebook, and 13.9 % were covered in news sources (with 4.0 % receiving major media coverage). Epidemiology papers were among the most covered in the news, and e-cigarette review papers were among the most downloaded. News and social media coverage were positively associated with number of downloads and citations in bivariable models and with achieving the top 10 % of downloads and citations in multivariable models (ps < .001). Publishing a press release was associated with higher likelihood of receiving additional news coverage (aPR = 7.85, 95 % CI: 5.15-11.97). CONCLUSIONS:Traditional and social media coverage of manuscripts focusing on substance use are associated with more downloads and citations. Researchers should consider sharing findings not only to increase downloads and citations but also to educate the general public.

BACKGROUND:The popularity of virtual raves and happy hours has increased during the COVID-19 pandemic. While nightlife settings are often associated with drug use, it is unknown whether virtual events are associated with use. METHODS:Electronic dance music (EDM) partygoers who live in New York and reported recent drug use were recruited online and screened for eligibility throughout April and May 2020. Eligible adults (n = 128) were asked about virtual rave and happy hour attendance during the COVID-19 crisis. We examined prevalence and correlates of drug use during such events. RESULTS:55.5% of participants attended virtual raves and 69.5% attended virtual happy hours. 40.9% used illegal drugs during virtual raves and the most frequently used drugs were cannabis (29.6%), ecstasy/MDMA/Molly (8.5%), LSD (7.0%), and cocaine (4.2%). 33.7% used illegal drugs during virtual happy hours and the most frequently used drugs were cannabis (29.2%), cocaine (3.4%), and ketamine (3.4%). Older participants were more likely to use illegal drugs during virtual raves, and those reporting past-year use of more drugs were more likely to use drugs during virtual raves and/or happy hours (ps<0.05). CONCLUSIONS:EDM partygoers are at risk for using drugs during virtual events. Results can inform prevention and harm reduction efforts.

BACKGROUND:Older lesbian, gay, and bisexual (LGB) adults are an underserved and understudied population that experience specific health disparities. The intersection of aging and chronic medical disease with a higher risk for substance use and mental illness may place older LGB adults at risk for co-occurring conditions and resulting comorbidity. Understanding multimorbidity among older LGB adults may help inform interventions to reduce disparities in health outcomes. METHODS:Data come from the 2015 to 2017 National Surveys on Drug Use and Health (n = 25,880). We first determined whether sexual orientation was associated with reporting: past-year drug use, mental illness, and/or 2 or more chronic medical diseases. We then determined whether sexual orientation was associated with reporting co-occurrence of these conditions. This was done using multivariable logistic regression. Analyses were stratified by gender. RESULTS:Compared to heterosexual men, gay men were at increased odds for reporting 2 or more chronic medical diseases (adjusted odds ratio [aOR] = 2.18, 95% confidence interval [CI] = 1.48, 3.21), and gay (aOR = 1.79, 95% CI = 1.09, 2.93) and bisexual men (aOR = 3.53, 95% CI = 2.03, 6.14) were at increased odds for reporting mental illness. Gay men (aOR = 2.95, 95CI = 1.60, 5.49) and bisexual men (aOR = 2.84, 95% CI = 1.58, 5.08) were at increased odds of reporting co-occurring conditions. Compared to heterosexual women, bisexual women were at increased odds for past-year drug use (aOR = 4.20, 95% CI = 2.55, 6.93), reporting mental illness (aOR = 1.94, 95% CI = 1.03, 3.67), and reporting co-occurring conditions (aOR = 3.25, 95% = 1.60, 6.62). CONCLUSIONS:Middle-aged and older LGB adults in the United States are at high risk for experiencing co-occurring drug use, mental illness, and/or medical multimorbidity. Interventions for older sexual minority populations are needed to reduce disparities.