Faculty Bibliography

PURPOSE/OBJECTIVE:Studies have examined trends in cannabis vaping, but research is needed to examine trends in more frequent use as this may increase risk for adverse health outcomes. METHODS:Data were from 12,561 high school seniors participating in the Monitoring the Future national study. Prevalence of self-reported frequent vaping of cannabis (defined as using ≥10 times in the past month) was compared between 2018 and 2019 cohorts. RESULTS:Frequent vaping of cannabis significantly increased from 2.1% to 4.9%, a 131.4% increase. This increase was larger than the increase for any vaping of cannabis (which increased 85.9%). Notable significant increases occurred among students aged ≥18 years (a 154.9% increase), female students (a 183.5% increase), those who go out 4-7 evenings per week (a 163.0% increase), and those reporting past-year nonmedical prescription opioid use (a 184.7% increase). CONCLUSIONS:Frequent vaping of cannabis is increasing among adolescents in the United States, particularly among selected subgroups.

Dance festival attendees are at high risk for consuming adulterated drugs. In recent years, drug checking studies have been conducted at various dance festivals to provide valuable harm reduction information to attendees regarding drug content. We conducted a review of the literature to determine the generalizability of findings to the target population of interest-festival attendees at risk for using adulterated drugs. Six published studies involving drug checking at festivals were reviewed. All relied on self-selected samples and male attendees were overrepresented based on previous research. Test methods, drugs tested, definitions of adulteration, and prevalence of adulteration varied across studies. Prevalence of detection of adulterants ranged from 11% to 55%. While the drug checking services described appear to have been beneficial for participants, results have limited generalizability to the target population. We recommend that researchers expand beyond the self-selection model in future studies and utilize recruitment methods that involve random sampling techniques such as systematic random sampling, stratified random sampling, or time-space sampling within festivals. We also recommend that individuals approached are surveyed for demographic characteristics, planned drug use at the festival, and willingness to test their drugs. These methods would help determine how representative the sample is compared to the target population and allow for more generalizable estimates. In conclusion, as these valuable harm reduction services expand, it may be possible to reach a wider portion of the population at risk and to obtain more generalizable estimates of engagement, adulteration, and reactions to learning one possesses adulterated drugs. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

BACKGROUND:National surveys are a leading method for estimating prevalence of substance use and other health-related behaviors. However, when a participant perceives a survey as too time-consuming, there is a higher probability of lower quality responses. METHODS:We examined data from the 2018 to 2019 National Survey on Drug Use and Health, a nationally representative sample of non-institutionalized individuals ages ≥12 in the U.S. (N = 112,184). Participants were asked about 13 drug classes on this hour-long survey, and those reporting use of a drug were asked follow-up questions. We estimated prevalence and correlates of participants stating that the survey took too long to complete. RESULTS:An estimated 9.4 % (95 % CI: 8.9-9.8) felt the survey took too long. The more drugs used in the past year, the higher the odds of reporting that the survey took too long. Those reporting use of 8-13 drug classes in particular were at higher odds (aOR = 2.91, 95 % CI: 1.44-5.87). More missing responses was associated with higher odds-particularly when ≥5 drug-related questions were skipped (aOR = 3.26, 95 % CI: 2.26-4.71). Participants who did not speak any English (aOR = 1.74, 95 % CI: 1.31-2.32), have difficulty concentrating (aOR = 1.38, 95 % CI: 1.23-1.54), and/or had trouble understanding the interview (aOR = 3.99, 95 % CI: 3.51-4.53) were at higher odds, as were those who were older and non-white. Higher education and family income was associated with lower odds. CONCLUSION/CONCLUSIONS:We identified subgroups of individuals most likely to experience fatigue on a national drug survey. Researchers should recognize that long surveys with extensive follow-up questions may lead to respondent fatigue.

BACKGROUND:Adults age ≥ 50 are among the fastest growing populations in correctional supervision and are medically underserved while experiencing unique health disparities. Community-living older adults, referred to as "justice-involved," are people who have been recently arrested, or are on probation or parole. Although medical complexity is common among incarcerated older adults, the occurrence of medical morbidity, substance use disorder (SUD), and mental illness among justice-involved older adults living in US communities is poorly understood. OBJECTIVE:To estimate the prevalence of medical multimorbidity (≥ 2 chronic medical diseases), SUDs, and mental illness among justice-involved adults age ≥ 50, and the co-occurrence of these conditions. DESIGN/METHODS:Cross-sectional analysis. PARTICIPANTS/METHODS:A total of 34,898 adults age ≥ 50 from the 2015 to 2018 administrations of the US National Survey on Drug Use and Health. MAIN MEASURES/METHODS:Demographic characteristics of justice-involved adults age ≥ 50 were compared with those not justice-involved. We estimated prevalence of mental illness, chronic medical diseases, and SUD among adults age ≥ 50 reporting past-year criminal justice system involvement. Logistic regression was used to estimate the odds of these conditions and co-occurrence of conditions, comparing justice-involved to non-justice-involved adults. KEY RESULTS/RESULTS:An estimated 1.2% (95% confidence interval [CI] = 1.1-1.3) of adults age > 50 experienced criminal justice involvement in the past year. Compared with non-justice-involved adults, justice-involved adults were at increased odds for mental illness (adjusted odds ratio [aOR] = 3.04, 95% CI = 2.09-4.41) and SUD (aOR = 8.10, 95% CI = 6.12-10.73), but not medical multimorbidity (aOR = 1.15, 95% CI = 0.85-1.56). Justice-involved adults were also at increased odds for all combinations of the three outcomes, including having all three simultaneously (aOR = 8.56, 95% CI = 4.10-17.86). CONCLUSIONS:Community-based middle-aged and older adults involved in the criminal justice system are at high risk for experiencing co-occurring medical multimorbidity, mental illness, and SUD. Interventions that address all three social and medical risk factors are needed for this population.

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.