Faculty Bibliography

BACKGROUND:Marijuana use is increasing among middle-aged and older adults in the US, but little is understood of its pattern of use by this population. METHODS:We performed a cross-sectional analysis of responses from 17,608 adults aged ≥50 years from the 2015 and 2016 administrations of the National Survey on Drug Use and Health. Prevalence of past-year marijuana use was estimated and compared between middle-aged adults (age 50-64) and older adults (≥65). Characteristics of past-year marijuana users including demographics, substance use, chronic disease, and emergency room use, were compared to non-marijuana users and stratified by age group. Marijuana use characteristics were also compared between middle-aged and older adults. We used multivariable logistic regression to determine correlates of past-year marijuana use. RESULTS:Prevalence of past-year marijuana use was 9.0% among adults aged 50-64 and 2.9% among adults aged ≥65. Prevalence of past-year alcohol use disorder (AUD), nicotine dependence, cocaine use, and misuse of prescription medications (i.e., opioids, sedatives, tranquilizers) were higher among marijuana users compared to non-users. In adjusted models, initiation of marijuana use <19 years of age [adjusted odds ratio (AOR) = 13.43, 95% confidence interval (CI) 9.60, 18.78)], AUD (AOR = 2.11, 95% CI 1.51, 2.94), prescription opioid misuse (AOR 2.49, 95% CI 1.61, 3.85), nicotine dependence (AOR = 1.90, 95% CI 1.59, 2.26), and cocaine use (AOR 7.43, 95% CI 4.23, 13.03), were all associated with increased odds of past-year marijuana use. CONCLUSION/CONCLUSIONS:Marijuana use is becoming more prevalent in this population and users are also at high risk for other drug use.

Use of synthetic cathinones ("bath salts") has been associated with tens of thousands of emergency department visits. Few surveys, however, query use. Research on "bath salt" use is needed, especially in high-risk populations, to inform prevention and harm reduction efforts. A total of 933 adults (ages 18-40) were surveyed entering electronic dance music (EDM) parties in New York City in 2017. Lifetime use of 22 different synthetic cathinones was queried, and agreement with four statements about "bath salts" was also assessed. Prevalence and correlates of self-reported "bath salt" use was examined as well as correlates of beliefs about "bath salts." An estimated 3.5% of EDM attendees have knowingly used "bath salts." Almost half (46.7%) believe "bath salts" are more harmful than MDMA, 30.1% believe "bath salts" have turned users into cannibals, 30.0% believe "bath salts" are sometimes found in Molly, and 14.9% believe they might have unknowingly used "bath salts." Males, those earning <$500 per week, and those with a college degree were at higher risk for use. Believing "bath salts" have turned users into cannibals, however, was protective against use. Findings suggest the need for more accurate information (e.g., regarding drug effects) on this large and heterogeneous group of compounds.

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: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.

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: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.

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: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.

Alcohol, marijuana, and ecstasy (3,4-methylenedioxymethamphetamine [MDMA], 'Molly') are among the most prevalent substances used by young adults; however, few studies have focused on the specific sexual effects associated with use. Examining subjective sexual effects (e.g. increased libido) associated with use can inform prevention efforts. Data were analysed from 679 nightclub and dance festival attendees in New York City (ages 18-25) to examine and compare self-reported sexual effects associated with use of alcohol, marijuana, and ecstasy. Results suggest that compared to marijuana, alcohol and ecstasy were more strongly associated with heightened perceived sexual effects (i.e. perceived sexual attractiveness of self and others, sexual desire, length of intercourse, and sexual outgoingness). Increased body and sex organ sensitivity and increased sexual intensity were most commonly associated with ecstasy use. Sexual dysfunction was most common while using alcohol or ecstasy, especially among males, and females were more likely to report sexual dysfunction after using marijuana. Post-sex regret was most common with alcohol use. Alcohol, marijuana, and ecstasy each have different sexual effects; therefore, each is associated with different risks and benefits for users. Findings can inform prevention and harm reduction as young adults are prone to use these substances.

BACKGROUND:The opioid epidemic in the US is affecting pregnant women and their offspring, with rising numbers of maternal and neonatal treatment episodes. The aim of this study was to characterize pregnant drug users in order to inform intervention strategies based on sociodemographic, mental health, and substance use characteristics. METHODS:Data on pregnant women aged 18-44 reporting past-year, nonmedical opioid use or use of non-opioid illegal drugs (other than marijuana) were analyzed from the National Survey on Drug Use and Health (2005-2014). Women (N = 818) were categorized into 3 groups: 1) use of opioids only (n = 281), 2) opioid-polydrug users (n = 241), and 3) other (non-opioid) illegal drug users (n = 296). Characteristics between the 3 groups of women were compared using bivariable analyses. RESULTS:Most women were non-Hispanic White (67.6%), had a high school diploma or less education (61.0%), a household income <$20,000/year (72.2%), and health insurance coverage (84.3%). No significant differences between the three groups were found regarding sociodemographic characteristics. Past-30-day marijuana use was less prevalent among opioid-only users (10.9%) compared to opioid-polydrug users (43.6%) and other pregnant illegal drug users (27.6%) (P < 0.001) and past-year drug/alcohol treatment was less prevalent among opioid-only users (6.3%) compared to opioid-polydrug users (20.3%) and other illegal drug users (8.3%) (P = 0.002). Opioid-only users also reported lower prevalence of past-year depression (P < 0.001) and anxiety (P = 0.039). CONCLUSIONS:Pregnant drug-using women were often of low socioeconomic status, with mental health and substance use patterns suggesting the need for targeted mental health/substance use screening and interventions before and during pregnancy, particularly for opioid-polydrug users.