Faculty Bibliography

BACKGROUND:Heroin-related deaths are on the rise in the US and a large portion of heroin overdoses involve co-use of other drugs such as benzodiazepines. A better understanding of heroin polysubstance use patterns could help discern better prevention measures. METHODS:Data were examined from past-month ("current") heroin users from a nationally representative sample of high school seniors in the Monitoring the Future study (2010-2016, n = 327). We examined how past-month use and frequency of use of various drugs relate to frequency of current heroin use using chi-square and multivariable ordinal logistic regression. RESULTS:Prevalence of any past-month use of various other drugs (and past-month use 10+ times) tends to increase as the frequency of heroin use increases; however, other drug use tends to decline among those reporting the use of heroin 40+ times in the past month. In multivariable models controlling for demographic characteristics, most levels of alcohol use were associated with decreased odds of higher-frequency heroin use (ps<.05). Nonmedical opioid (aOR = 5.84, p = .037) and tranquilizer (aOR = 14.63, p = .045) use 40+ times in the past month were associated with increased odds of higher-frequency heroin use. CONCLUSIONS:High school seniors who use heroin also use multiple other drugs. Increases in the frequency of heroin use are associated with shifts in the nature and frequency of polysubstance use, with a higher frequency of heroin use associated with the highest percentage and frequency of use of depressants (nonmedical opioid and benzodiazepine use), compounding the risk of overdose. Prevention measures should consider polysubstance use patterns among heroin-using adolescents.

The use of inhaled nitrites, or poppers, among men who have sex with men (MSM) is prevalent, yet has been associated with HIV seroconversion. We surveyed 580 MSM from a geosocial networking smartphone application in Paris, France, in 2016. Of the respondents, 46.7% reported popper use within the previous 3 months. Regression models adjusted for sociodemographic characteristics found that the use of poppers was significantly (P<0.05) associated with the following during the prior 3 months: condomless anal intercourse (adjusted relative risk (aRR) 1.27, 95% confidence interval (CI) 1.07-1.50), use of alcohol and/or drugs during sex once or twice (adjusted relative risk ratio (aRRR) 2.33, 95% CI 1.44-2.03), three to five times (aRRR 5.41, 95% CI 2.98-9.84) or six or more times (aRRR 4.09, 95% CI 2.22-7.56), participation in group sex (aRRR 3.70, 95% CI 2.33-5.90) and self-reported diagnosis with any sexually transmissible infection over the previous year (aRR 1.63, 95% CI 1.18-2.27), specifically chlamydia (aRR 2.75, 95% CI 1.29-4.29) and syphilis (aRR 2.27, 95% CI 1.29-4.29).

BACKGROUND:Binge drinking among older adults has increased in the past decade. Binge drinking is associated with unintentional injuries, medical conditions, and lower health-related quality of life. No studies have characterized multimorbidity among older binge drinkers. METHODS:We examined past 30-day binge alcohol use and lifetime medical conditions among adults age ≥50 from the National Survey on Drug Use and Health from 2005 to 2014. Self-reported lifetime prevalence of 13 medical conditions and medical multimorbidity (≥2 diseases) among binge drinkers were compared to non-binge drinkers. Multivariable logistic regression models were used to examine correlates of binge alcohol use among older adults with medical multimorbidity. RESULTS:Among adults aged ≥50, 14.4% reported past-month binge drinking. Estimated prevalence of medical multimorbidity was lower (21.4%) among binge drinkers than non-binge drinkers (28.3%; p < 0.01). Binge drinkers were more likely to use tobacco and illegal drugs than non-binge drinkers (ps < 0.001). In the adjusted model, among older adults with multimorbidity, higher income (AOR = 1.44, p < 0.05), past-month tobacco use (AOR = 2.55, p < 0.001) and substance use disorder for illegal drugs (AOR = 1.80, p < 0.05) was associated with increased odds of binge alcohol use. CONCLUSION/CONCLUSIONS:The prevalence of multimorbidity was lower among current binge drinkers compared to non-binge drinkers, possibly because older adults in good health are apt to drink more than adults in poorer health. Current use of tobacco and substance use disorder were associated with an increased risk for binge drinking among older adults with multimorbidity. Binge drinking by older adults with multimorbidity may pose significant health risks especially with the concurrent use of other substances.

BACKGROUND:Little is known about the role of financial hardship as it relates to drug use, especially among men who have sex with men (MSM). As such, this study aimed to investigate potential associations between financial hardship status and drug use among MSM. METHODS:We conducted a cross-sectional survey of 580 MSM in Paris recruited using a popular geosocial-networking smartphone application (GSN apps). Descriptive analyses and multivariate analyses were performed. A modified Poisson model was used to assess associations between financial hardship status and use of drugs (any drugs, tobacco, alcohol, marijuana, inhalant nitrites, and club drugs). RESULTS:In our sample, 45.5% reported that it was somewhat, very, or extremely difficult to meet monthly payments of bills (high financial hardship). In multivariate analyses, a high level of financial hardship was significantly associated with an increased likelihood of reporting use of any substance use (adjusted risk ratio [aRR] = 1.15; 95% CI = 1.05-1.27), as well as use of tobacco (aRR = 1.45; 95% CI = 1.19-1.78), marijuana (aRR = 1.48; 95% CI =1.03-2.13), and inhalant nitrites (aRR = 1.24; 95% CI = 1.03-1.50). CONCLUSIONS:Financial hardship was associated with drug use among MSM, suggesting the need for interventions to reduce the burden of financial hardship in this population.

BACKGROUND:Nonmedical opioid use remains an epidemic in the United States. Electronic dance music (EDM) party attendees have been found to be at high risk for the use of drugs such as ecstasy, but little is known about nonmedical opioid use in this population. METHODS:Using time-space sampling, we surveyed 954 individuals (ages 18-40) attending randomly selected EDM parties in New York City in 2017. Participants were asked about the use of 18 different opioids and about willingness to use if offered by a friend in the next 30 days. We estimated the prevalence of use in this population and examined correlates of past-year and past-month use. RESULTS:Almost a quarter (23.9%) of EDM party attendees are estimated to have used opioids non-medically in their lifetime, and one out of ten (9.8%) in the past year. 5% are estimated to be current users (reporting past-month use), and 16.4% are willing to use opioids non-medically if offered by a friend in the next 30 days. Past-year nonmedical benzodiazepine users were at high odds for reporting current nonmedical opioid use (aOR = 10.11, p < 0.001) and, on average, report using more different opioid drugs in the past year than non-past-year-users (p = 0.012). Nearly three-quarters (73.6%) of those who have used in the past year indicated that they would use again if offered by a friend in the next 30 days. CONCLUSION/CONCLUSIONS:Nonmedical opioid use is prevalent in the EDM scene and many attendees are willing to use if offered. Prevention efforts are needed in this high-risk population.

BACKGROUND:Non-disclosure of drug use on surveys is common and many drug users unknowingly ingest adulterant or replacement drugs, which leads to underreporting of use of these drugs. Biological testing can complement survey research, and hair-testing is an appealing method as many drugs are detectable for months post-use. We examined willingness to donate a hair sample to be tested among those surveyed in a population at high risk for consuming adulterated drugs-electronic dance music (EDM) party attendees. METHODS:We surveyed 933 adults entering EDM parties in New York City in 2017. Hair donation response rates and reasons for refusal were examined from this cross-sectional study. RESULTS:A third (n = 312; 33.4%) provided a hair sample. Lack of interest (21.0%), lack of time (19.8%), not wanting a lock of hair cut (17.7%), and disinterest in having hair cut in public (13.8%) were the main reported reasons for refusal. 4.7% refused because they could not receive results. Past-year drug users were more likely to fear identification than non-users (p<.001). Asian participants were at lower odds of providing a hair sample (aOR = 0.53, 95% CI = 0.32-0.87), and those reporting past-year use of LSD (aOR = 1.62, 95% CI = 1.11-2.35), opioids (nonmedical; aOR = 1.93, 95% CI = 1.25-2.99), and/or methamphetamine (aOR = 3.43, 95% CI = 1.36-8.62) were at higher odds of providing a sample than non-users of these drugs. CONCLUSIONS:Only a third of participants provided a hair sample and we found individual-level differences regarding willingness to provide a sample. Factors contributing to refusal should be considered to increase response rates and generalizability of results.

Alcohol and marijuana are two of the most prevalent psychoactive substances and each may result in distinct psychosocial and physical sexual experiences and different sexual risk behaviors. With marijuana becoming more accepted in the US along with more liberal state-level policies, it is important to examine and compare users' psychosocial and physical sexual experiences and sexual risk behavior associated with these drugs. In this study, we interviewed 24 adults who recently used marijuana before sex. Participants were 50 % female and all self-identified as heterosexual and HIV-negative. Using thematic analysis, we compared self-reported psychosocial and physical sexual experiences of alcohol and marijuana. Participants described differences between drugs with regard to psychosocial (e.g., partner interactions and contexts before sex, partner choice, perceived attractiveness of self and others, disinhibition, and feelings of regret after sex) and physical sexual experiences (e.g., sexual dysfunction, dose effects, sensations of body/sex organs, length and intensity of sex, and orgasm). Alcohol use was commonly associated with social outgoingness and use facilitated connections with potential sexual partners; however, alcohol was more likely than marijuana to lead to atypical partner choice or post-sex regret. Both alcohol and marijuana had a variety of negative sexual effects, and the illegality of marijuana reportedly facilitated intimate encounters. While sexual experiences tended to be similar across males and females, we did find some variation by gender. Results can inform prevention and harm reduction programming that will allow us to design more realistic programs and to craft interventions, which guide potential users to make safer choices.

Nonmedical opioid use has been linked to lifetime heroin use; however, research is needed to examine associations between nonmedical opioid use and current or recent heroin use, as current users appear to be at highest risk for harm. Data were from a nationally representative sample of non-institutionalized adults (age 18-64) in households participating in the National Survey of Drug Use and Health who reported lifetime heroin use (2005-2014, N = 7,111). We examined associations between frequency and recency of nonmedical opioid use and recency of heroin use. Most (86.7%) lifetime heroin users reported no heroin use in the last 12 months, while 6.1% reported current use (use in the last 30 days). The majority of the sample (69.3%) reported lifetime nonmedical opioid use; 14.3% reported nonmedical use in the last 30 days. Adjusted odds for current heroin use increased as frequency of past-year nonmedical opioid use increased, with a quarter (24.7%) of current heroin users reporting nonmedical opioid use on 157-365 days in the last year. Over half (54.7%) of current heroin users reported current nonmedical opioid use. Prevention efforts should consider that high-frequency and current nonmedical opioid use is a robust correlate of continued heroin use.

BACKGROUND: Electronic Dance Music (EDM) party attendees are often polysubstance users and are at high risk for use of new psychoactive substances (NPS). We sought to identify patterns of use of common illegal drugs among EDM party attendees, sociodemographic correlates, and use of NPS as a function of patterns of use of more common drugs to inform prevention and harm reduction. METHOD: Using time-space-sampling, 1045 individuals aged 18-40 were surveyed entering EDM parties in New York City. We queried past-year use of common illegal drugs and 98 NPS. We conducted latent class analysis to identify polysubstance use profiles of use of eight common drugs (i.e., ecstasy, ketamine, LSD, mushrooms, powder cocaine, marijuana, amphetamine, benzodiazepines). Relationships between drug classification membership and sociodemographics and use of drugs within six NPS categories were examined. RESULTS: We identified four profiles of use of common drugs: non-polysubstance use (61.1%), extensive polysubstance use (19.2%), moderate polysubstance use/stimulants (12.8%), and moderate polysubstance use/psychedelics (6.7%). Those in the moderate/psychedelic group were at higher odds of using NPS with psychedelic-type effects (2C, tryptamines, and other "new" psychedelics; Ps<0.05). Extensive polysubstance users were at increased odds of reporting use of 2C drugs, synthetic cathinones ("bath salts"), tryptamines, other new (non-phenethylamine) psychedelics, new dissociatives, and synthetic cannabinoids (Ps<0.05). CONCLUSION: NPS preference is linked to the profile of use of common drugs among individuals in the EDM scene. Most participants were identified as non-polysubstance users, but findings may help inform preventive and harm reduction interventions among those at risk in this scene.