Faculty Bibliography

INTRODUCTION:Psychoactive substance use may be risky for adults with functional impairments. This study investigates cannabis use and prescription opioid and tranquilizer/sedative (mis)use among adults aged ≥50 years reporting functional impairments in the U.S. METHODS:This cross-sectional analysis of adults aged ≥50 years from the 2015-2019 cohorts of the National Survey on Drug Use and Health estimates the prevalence of past-year medical and nonmedical cannabis use and prescription opioid and tranquilizer/sedative use and misuse according to the number of functional impairments reported. The adjusted odds of medical and nonmedical use or misuse of each substance in relation to any impairment, the number of impairments, and specific impairments were estimated using logistic regression. Analyses were conducted in December 2020. RESULTS:Compared with those reporting no impairments, those reporting any impairment were more likely to report the use of cannabis and the (mis)use of prescription opioids and tranquilizers/sedatives (all p<0.05). Prevalence of (mis)use increased for each drug as the number of impairments increased (all p<0.001). Having any impairment was associated with increased odds for medical cannabis use (AOR=2.28, 95% CI=1.57, 3.30) but not for nonmedical use and with increased odds for misuse of prescription opioids (AOR=1.62, 95% CI=1.38, 1.91) and tranquilizers/sedatives (AOR=1.59, 95% CI=1.20, 2.11). Impaired thinking was associated with increased odds for the use and misuse of each substance, and impaired ability to do errands was associated with increased odds for prescription opioid misuse (AOR=1.34, 95% CI=1.01, 1.78). CONCLUSIONS:Prescription drug misuse is linked to functional impairments among adults aged ≥50 years and may pose a potential risk for this vulnerable population.

INTRODUCTION/BACKGROUND:Kratom is a plant with partial opioid agonist effects, and its use has become popular to ameliorate symptoms of opioid withdrawal. However, use has been linked to thousands of poisonings, although most have involved use of other drugs. Little is known regarding prevalence and correlates of use in the general U.S. POPULATION/METHODS/: METHODS:Data were examined from the 2019 National Survey on Drug Use and Health, a nationally representative probability sample of non-institutionalized individuals aged ≥12 years in the U.S. (N=56,136). Prevalence and correlates of past-year kratom use were estimated. Data were analyzed in 2020. RESULTS:An estimated 0.7% (95% CI=0.6, 0.8) of individuals in the U.S. have used kratom in the past year. Past-year proxy diagnosis of prescription opioid use disorder was associated with increased odds for kratom use (AOR=3.20, 95% CI=1.38, 7.41), with 10.4% (95% CI=6.7, 15.9) of those with use disorder reporting use. Opioid misuse not accompanied with use disorder was not associated with kratom use. Those reporting past-year cannabis use both with (AOR=4.33, 95% CI=2.61, 7.19) and without (AOR=4.57, 95% CI=3.29, 6.35) use disorder and those reporting past-year cocaine use (AOR=1.69, 95% CI=1.06, 2.69) and prescription stimulant misuse (AOR=2.10, 95% CI=1.44, 3.05) not accompanied with use disorder were at higher odds for kratom use. CONCLUSIONS:Kratom use is particularly prevalent among those with prescription opioid use disorder, but it is also prevalent among people who use other drugs. Research is needed to determine reasons for use and potential dangers associated with adding kratom to drug repertoires.

Intercept surveys are a relatively inexpensive method to rapidly collect data on drug use. However, querying use of dozens of drugs can be time-consuming. We determined whether using a rapid screener is efficacious in detecting which participants use drugs and should be offered a full survey which asks more extensively about use.

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.