Faculty Bibliography

BACKGROUND:Results provide insight regarding diffusion and initiation of ecstasy in the EDM scene. Findings can inform prevention and harm reduction efforts.

We sought to estimate the prevalence as well as demographic and drug use-related correlates of poppers use among adults in the United States. Data were analyzed from adult participants (ages 18-64) in the 2015-2017 National Survey on Drug Use and Health (N = 115,744), a nationally representative survey of non-institutionalized adults in the US. An estimated 3.3% of adults have ever used poppers. Over a third (35.1%) of gay men are estimated as having ever used poppers. Estimates were lower for heterosexual (3.7%) and bisexual males (11.3%), and for heterosexual (1.8%), bisexual (4.8%), and lesbian women (6.3%). In the multivariable model, compared to male heterosexuals, gay men were at increased odds for reporting lifetime popper use (aOR = 24.64, p<.001), and bisexual men (aOR = 3.55, p <.001), lesbian women (aOR = 1.86, p =.010), and bisexual women (aOR = 1.33, p =.049) were at increased odds for lifetime use. Having a college degree was associated with increased odds for use, and lifetime use of marijuana, ecstasy/MDMA/Molly, cocaine, LSD, methamphetamine, tranquilizers, and/or opioids were associated with higher odds for use. Gay men in particular are at high risk for use. Results can help inform prevention efforts, particularly in sexual minority populations.

BACKGROUND AND OBJECTIVES/OBJECTIVE:Electronic dance music (EDM) party attendees are at high risk for drug use. However, little is known regarding the extent of underreporting of drug use in this population, in part, because use of synthetic drugs is often associated with unknown exposure to adulterant drugs. We estimated the extent of underreported drug use in this population by comparing self-reported use to hair toxicology results. METHODS:Time-space sampling was used to survey adults entering EDM events at nightclubs and dance festivals in New York City from January through August of 2019. Seven hundred ninety-four adults were surveyed and 141 provided analyzable hair samples. We queried past-year use of >90 drugs and tested hair samples using ultra-high performance liquid chromatography-tandem mass spectrometry. We compared hair test results to past-year self-reported use and adjusted prevalence estimates by defining use as reporting use or testing positive. Correlates of discordant reporting, defined as testing positive after not reporting use, were estimated. RESULTS:Prevalence of drug use increased when considering positive hair tests in estimates, with 43.8% of participants testing positive for at least one drug after not reporting use. For example, based on self-report, cocaine use prevalence was 51.1%, and increased by a factor of 1.6 to a prevalence of 80.0% when adding hair test results to self-report. Younger adults (ages 18-25), black and other/mixed race participants, those reporting "other" sexuality, and those with a college degree were at significantly higher risk for testing positive for drugs not reportedly used. Those who self-reported using more types of drugs were less likely to test positive after not reporting use (adjusted prevalence ratio = 0.53, 95% confidence interval = 0.41-0.68). CONCLUSIONS:We detected underreporting of drug use, particularly cocaine and ketamine. More research is needed to determine whether this is driven by intentional underreporting or unknown exposure through adulterants.

PURPOSE OF REVIEW/OBJECTIVE:Drug checking services invite drug consumers to anonymously submit drug samples for chemical analysis and provide feedback of results. Drugs are tested for strength/dose and/or presence of adulterants. Drug checking appears to be more common in recent years in response to increases in fentanyl-related deaths and the proliferation of new psychoactive substances (NPS). We aim to provide information regarding the current state of drug checking in relation to analysis methods, adulteration rates, and behavioral responses to results. RECENT FINDINGS/RESULTS:Various technologies are being used to detect the presence of fentanyl, its analogs, and other NPS in drug samples. Proxy drug checking, which we define as biospecimen testing for drug exposure postconsumption, is also becoming common. However, there appears to a dichotomy between research focusing on populations at high risk for fentanyl exposure and to exposure to NPS such as synthetic cathinones. SUMMARY/CONCLUSIONS:Drug checking research and services largely focus on opioid consumers and nightclub and dance festival attendees, but more focus may be needed on the general population. Drug checking results can inform surveillance efforts, and more research is needed to overcome barriers to drug checking and to focus on whether test results indeed affect behavior change.

BACKGROUND:Prevalence of self-reported methamphetamine use has remained relatively stable over the past decade; however, deaths and seizures involving methamphetamine have been increasing. Research is needed to determine if select subgroups in the US are at increased risk for use. METHODS:We examined data from individuals ages ≥12 from the 2015-2018 National Survey on Drug Use and Health (n = 226,632), an annual nationally representative cross-sectional survey of non-institutionalized individuals in the US. Log-linear trends in past-year methamphetamine use were examined, stratified by demographic and drug use characteristics. RESULTS:Methamphetamine use increased in the US from 2015 to 2018, including among those reporting past-year use of ecstasy/MDMA (6.1 % to 10.8 % [p = .018], a 78.2 % increase), cocaine (8.4 % to 11.8 % [p = .013], a 40.1 % increase), and among those reporting past-year prescription opioid misuse (5.4 % to 8.0 % [p = .019], a 49.2 % increase). Increases were particularly pronounced among those reporting past-year use of heroin (22.5 % to 37.4 % [p = .032], a 66.2 % increase) and LSD (5.1 %-= to 10.3 % [p = .002], a 100.4 % increase). Small increases were also detected among heterosexuals (0.6 % to 0.7 % [p = .044], a 16.2 % increase), those with a high school diploma or less (1.0 % to 1.2 % [p = .020], a 22.0 % increase), and among those receiving government assistance (1.4 % to 1.8 % [p = .046], a 26.2 % increase). CONCLUSIONS:Methamphetamine use is increasing among people who use other drugs with sharp increases among people who use heroin or LSD in particular, and this could have serious public health consequences. Results may signal that methamphetamine use may continue to increase in the general population.

Intention and willingness to use drugs are proximal predictors of drug use; however, willingness to use requires more research to inform prevention efforts. This study examines willingness to use drugs among electronic dance music (EDM) party attendees, a population at high risk for drug use. Data were examined from a repeated cross-sectional study of 2,426 adult EDM party attendees surveyed entering nightclubs and festivals in New York City from 2017 to 2019 using time-space sampling. Trends and correlates of reporting whether participants would use ten different synthetic drugs if offered by a friend in the next thirty days were examined. Ecstasy (31.9%), powder cocaine (25.5%), LSD (20.0%), and opioids (16.4%) were most likely to be used if offered. Willingness to use powder cocaine, LSD, ketamine, amphetamine, tryptamines, and 2C series drugs significantly increased from 2017 to 2019, particularly powder cocaine (increasing from 19.1% to 34.2%, p <.001). Any or more recent use of each drug was associated with increases in willingness to use. Past drug use is a consistent predictor of willingness to use if offered, and willingness to use is increasing in this population. Findings can inform prevention efforts by allowing better targeting of those at risk for use.

The detection of NPS in hair has become extensively researched in recent years. Although most NPS fall into the classes of synthetic cannabinoids and designer cathinones, novel synthetic opioids (NSO) have appeared with increasing frequency in the illicit drug supply. While the detection of NSO in hair is now well-documented, interpretation of results presents several controversial issues, as is quite common in hair analysis. In this study, a UHPLC-MS/MS method able to detect 13 synthetic opioids (including fentanyl analogs) and metabolites in hair was applied to 293 real samples. Samples were collected in the United States between November 2016 and August 2018 from subjects who had reported heroin use in the past year or had already tested positive to hair testing for common opiates. The range, mean and median concentrations were calculated for each analyte, in order to draw a preliminary direction for a possible cut-off to discriminate between exposure to either low or high quantities of the drug. Over two-thirds (68%) of samples tested positive for fentanyl at concentrations between LOQ and 8600 pg/mg. The mean value was 382 pg/mg and the median was 95 pg/mg. The metabolites norfentanyl and 4-ANPP were also quantified and were found between LOQ and 320 pg/mg and between LOQ and 1400 pg/mg, respectively. The concentration ratios norfentanyl/fentanyl, 4-ANPP/fentanyl, and norfentanyl/4-ANPP were also tested as potential markers of active use and to discriminate the intake of fentanyl from other analogs. The common occurrence of samples positive for multiple drugs may suggest that use is equally prevalent among consumers, which is not the case, as correlations based on quantitative results demonstrated. We believe this set of experimental observations provides a useful starting point for a wide discussion aimed to better understanding positive hair testing for fentanyl and its analogs in hair samples.

Background: Electronic dance music (EDM) party attendees are at high risk for use of various illegal drugs; however, little is known about their tobacco use. Understanding tobacco use patterns in this population at high risk for illegal drug use can inform multi-product interventions. Objectives: 954 EDM party attendees (ages 18-40) were surveyed in New York City in 2017. We estimated prevalence of use of cigarettes, hookah, cigars, other tobacco, and e-cigarettes and delineated correlates of current (past-month) use using bivariable and multivariable models. Results: Past-month use of cigarettes (36.2%), e-cigarettes (15.6%), cigars (12.5%), and hookah (11.7%) in particular was prevalent. In multivariable models, females were less likely to use e-cigarettes than males (adjusted prevalence ratio [aPR] = 0.63, p = .030), and those who attended graduate school were less likely to use cigarettes (aPR = 0.55, p = .003) and/or e-cigarettes (aPR = 0.33, p = .026). Past-year ecstasy/MDMA/Molly use was a risk factor for past-month use of cigarettes (aPR = 1.38, p = .013) and/or cigars (aPR = 1.61, p = .032), and past-year cocaine use was a risk factor for past-month use of cigarettes (aPR = 1.80, p < .001), cigars (aPR = 1.80, p = .013), other tobacco products (aPR = 3.05, p = .003), and/or e-cigarettes (aPR = 2.39, p = .003). 55.4% of ecstasy users and 60.3% of cocaine users were current cigarette smokers, but use of other products among users of these drugs was less prevalent (9.8-27.9%). Conclusions: Results suggest that current tobacco use is prevalent in this population who is also at high risk for use of drugs such as ecstasy and cocaine. Prevention and cessation efforts need to target tobacco users in this scene while incorporating components addressing illegal drug use.

Background: Due to underreporting, a major challenge associated with drug use surveys is obtaining precise estimates of drug use.Objective: This study examined reliability of self-reported lifetime marijuana use among electronic dance music (EDM) party attendees - a high-risk population for drug use.Methods: 794 adults (35.1% female) entering EDM parties were intercept-surveyed. Participants were asked about lifetime marijuana use early in the survey. Those not reporting use were asked 5-10 min later if their earlier response was correct. Participants reporting their original response was not correct were asked to check off a reason why they did not originally report use. Participants were also asked at the end of the survey how honestly they responded throughout the survey. Prevalence of lifetime marijuana use with and without corrected responses was compared and risk factors for underreporting were examined using a Poisson generalized linear model.Results: Among those not reporting marijuana use, 31.2% subsequently reported use when asked again. Prevalence of use increased from 73.7% to 81.9% after correcting responses, an 8.2% absolute increase and a 10.0% relative increase. Reporting lifetime use of ecstasy and/or LSD was associated with lower risk for underreporting marijuana use. Compared to those reporting that they answered all questions honestly, those who reportedly answered most or no questions honestly were at higher risk for underreporting.Conclusion: Asking participants to confirm previous responses can help detect underreporting of drug use on intercept surveys. Results can inform survey methods when participants are believed to be at risk for underreporting.