An empirical evaluation of alternative approaches to adjusting for attrition when analyzing longitudinal survey data on young adults' substance use trajectories.

OBJECTIVES: Longitudinal survey data allow for the estimation of developmental trajectories of substance use from adolescence to young adulthood, but these estimates may be subject to attrition bias. Moreover, there is a lack of consensus regarding the most effective statistical methodology to adjust for sample selection and attrition bias when estimating these trajectories. Our objective is to develop specific recommendations regarding adjustment approaches for attrition in longitudinal surveys in practice. METHODS: Analyzing data from the national U.S. Monitoring the Future panel study following four cohorts of individuals from modal ages 18 to 29/30, we systematically compare alternative approaches to analyzing longitudinal data with a wide range of substance use outcomes, and examine the sensitivity of inferences regarding substance use prevalence and trajectories as a function of college attendance to the approach used. RESULTS: Our results show that analyzing all available observations in each wave, while simultaneously accounting for the correlations among repeated observations, sample selection, and attrition, is the most effective approach. The adjustment effects are pronounced in wave-specific descriptive estimates but generally modest in covariate-adjusted trajectory modeling. CONCLUSIONS: The adjustments can refine the precision, and, to some extent, the implications of our findings regarding young adult substance use trajectories.

Recent trends in prescription drug misuse in the United States by age, race/ethnicity, and sex.

BACKGROUND AND OBJECTIVES: To examine changes in United States past-year opioid, stimulant, and benzodiazepine prescription drug misuse (PDM) and poly-PDM by demographics. METHODS: Data were from the 2015-2019 National Survey on Drug Use and Health (N = 282,768), examining annualized PDM change by demographics. RESULTS: Opioid and poly-PDM significantly declined among those under 35 years, White, and multiracial residents. DISCUSSION AND CONCLUSIONS: Age and race/ethnicity are important moderators of recent PDM trends, warranting investigation of mechanisms. SCIENTIFIC SIGNIFICANCE: Results highlight ongoing PDM declines in younger groups but expand the literature by showing limited changes in adults 35 and older and non-opioid PDM.

Trajectories of prescription opioid and heroin use in adulthood.

BACKGROUND AND OBJECTIVES: Due to a reduction in the availability of prescription opioids in the United States, the potential transition from prescription opioids to heroin is a public health concern. We assessed trajectories of both nonmedical prescription opioid (NMPO) and heroin use from adolescence (age 18) to adulthood (age 50) and how these trajectories were associated with substance use disorder (SUD) in adulthood (age 35-50). METHODS: A national sample of 26,569 individuals from eleven cohorts of US high school seniors (1976-1986) who were followed until age 50 (2008-2018). The analysis focuses on respondents who engaged in past-year NMPO and heroin use. Outcomes included the endorsement of two or more SUD symptoms. RESULTS: Among NMPO users, 7.5% had used heroin by the age of 50. The latent profile analyses assessing individuals who reported both NMPO and heroin use during the 32-year study period found four unique trajectory groups: (1) "age 18 concurrent use" (81.2%); (2) "mid-30s NMPO-to-heroin use transition" (10.7%); (3) age 19/20 NMPO-to-heroin use transition, followed by 40s heroin-to-NMPO use transition (4.3%); and (4) "mid-20s NMPO-to-heroin use transition" (3.7%). Respondents in the "mid-30s NMPO-to-heroin use transition" trajectory group had the highest odds of indicating two or more SUD symptoms between ages 35-50. CONCLUSION AND SCIENTIFIC SIGNIFICANCE: This is the first study to assess NMPO and heroin use trajectories among a national probability-based sample followed from age 18 to 50. The findings suggest that prescription opioid misuse is a risk factor in the development of SUDs and has a long-term impact.

Cigarette, e-cigarette, and dual use during the third trimester of pregnancy in a national sample of heterosexual and sexual minority women.

BACKGROUND AND OBJECTIVES: Research investigating e-cigarettes/e-products and dual use with cigarettes among pregnant sexual minority individuals in the United States is lacking. This study addresses this gap using a national sample. METHODS: Two waves of national panel data (2015-2018) from the Population Assessment of Tobacco and Health study were used. The sample included 1842 women, 237 identified as sexual minorities (n = 17 lesbian, n = 177 bisexual, n = 43 something else), who indicated pregnancy during the past 12 months at Waves 3 or 4. Covariates included race, ethnicity, past-year income, and education. Cigarette, e-cigarette, or dual use was examined during the last trimester. RESULTS: Sexual minorities had higher adjusted odds of cigarette use during their last trimester of pregnancy relative to heterosexual women (adjusted odds ratio [AOR] = 1.55, 95% confidence interval [CI] = 1.08, 2.23). Bisexual women had higher odds of smoking cigarettes during their third trimester compared with heterosexual women (AOR = 1.82, 95% CI = 1.21, 2.72). Lesbian women were more likely to use e-cigarettes/e-products (AOR = 9.15, 95% CI = 2.29, 36.5) and indicate dual use (AOR = 6.00, 95% CI = 1.43, 25.1) during their third trimester of pregnancy compared with heterosexual women. CONCLUSION AND SCIENTIFIC SIGNIFICANCE: Maternal health among US sexual minority women would benefit from clinicians equipped to provide accurate information and support for Food and Drug Administration-approved smoking cessation, information about e-cigarettes/e-products, and dual use. This study is the first to examine cigarette, e-cigarette, and dual use during the third trimester of pregnancy using a national sample, with specific attention to differences in sexual orientation.

Use of Cigarettes and E-Cigarettes/Vaping Among Transgender People: Results From the 2015 U.S. Transgender Survey.

INTRODUCTION: This study examines the demographic characteristics, transgender-specific factors, and discrimination experiences associated with current cigarette smoking, e-cigarette use/vaping, and dual use in a large sample of transgender people. METHODS: This was a secondary analysis of the 2015 U.S. Transgender Survey (n=27,715). Conducted in 2019, logistic regression models were used to estimate the AORs and 95% CIs of current smoking, e-cigarette use/vaping, and dual use among transgender people. RESULTS: Overall, 23.6% of respondents used cigarettes, 9.3% used e-cigarettes/vaping products, and 5.2% reported dual use within the past 30 days. Visually nonconforming individuals had greater odds (cigarettes: AOR=1.49, 95% CI=1.35, 1.65; e-cigarettes/vaping: AOR=1.43, 95% CI=1.25, 1.65; dual use: AOR=1.81, 95% CI=1.52, 2.15) than visually conforming individuals. Transgender people who had disclosed their transgender identity to their social networks had greater odds of cigarette smoking (AOR=1.30, 95% CI=1.17, 1.45), e-cigarette use/vaping (AOR=1.30, 95% CI=1.12, 1.52), and dual use (AOR=1.95, 95% CI=1.61, 2.35) than individuals who were out to none or some people within their networks. Experiencing discrimination (i.e., unequal treatment, verbal harassment, or physical assault) significantly increased the odds for cigarette smoking, e-cigarette use/vaping, and dual use. Transgender people who experienced all 3 types of discrimination had 2 times greater odds of current cigarette smoking (AOR=2.06, 95% CI=1.79, 2.37) and dual use (AOR=2.17, 95% CI=1.73, 2.74) than those who had not experienced discrimination. CONCLUSIONS: Discrimination, visual nonconformity, and being out as transgender increased the odds of cigarette smoking, e-cigarette use/vaping, and dual use. This study informs disease prevention efforts for transgender populations with increased risks for these health behaviors.

Disentangling the Social Context of Nonmedical Use of Prescription Stimulants in College Students.

BACKGROUND AND OBJECTIVES: The aim of this study was to investigate the social context of nonmedical use of prescription stimulants (NMUPS) among college students who endorsed NMUPS with co-occurring substance use disorders (SUD) compared with those without co-occurring SUDs. METHODS: Presented here are new analyses based on data previously collected from college students aged 18 to 28 years derived from the Boston metropolitan area who endorsed NMUPS (N = 100) at least once in their lifetime. Differences between those with lifetime history of SUD (N = 46) and without a history of SUD (N = 54) on the Massachusetts General Hospital ADHD Medication Misuse and Diversion Assessment were analyzed using the Student t test, the Pearson χ2 test, and the Wilcoxon rank-sum test. RESULTS: College students who endorsed NMUPS with co-occurring SUD were more likely than those without SUD to have bought or traded stimulants, bought or traded in their car, used at parties with drugs/alcohol, or used intranasally (all P < .05). Intranasal administration was common (38% of all students endorsing NMUPS) and was associated with misuse at a party and simultaneous use with cocaine (P = .04), marijuana (P < .001), and alcohol (P < .001), compared with only oral use. DISCUSSION AND CONCLUSIONS: Notable characteristics were identified among individuals who engaged in NMUPS in the type, amount, cost, and ascertainment of stimulants. SCIENTIFIC SIGNIFICANCE: The concurrence of SUD and/or intranasal administration appear to represent a more severe phenotype of NMUPS that should be considered in the implementation of future prevention and intervention protocols on college campuses. (Am J Addict 2020;29:476-484).

Diverse diagnostic profiles associated with prescription opioid use disorder in a nationwide sample: One crisis, multiple needs.

OBJECTIVE: The opioid crisis has had devastating effects on individuals and communities, and it has rapidly increased in severity. However, we still lack nationally representative information on the diversity of comorbidity patterns among prescription opioid use disorder (P-OUD), other substance use disorders (SUDs), and psychopathology using the newest edition of the Diagnostic and Statistical Manual of Mental Disorders (5th ed.; DSM-5; American Psychiatric Association, 2013). This impedes planning for multiple aspects of intervention, including society-wide allocation of treatment resources, program design at individual treatment centers, and personalized care to individual patients. METHOD: To address this critical gap in information, we evaluated clinical profiles of American adults via latent class analysis in a large, recently collected epidemiological dataset that uses structured diagnostic assessment for DSM-5 psychopathology (National Epidemiologic Survey on Alcohol and Related Conditions-III; N = 36,309). Variables considered for profiles included lifetime diagnosis for multiple SUDs, various externalizing and internalizing conditions, and demographic variables. We then associated clinical profiles with demographic variables and functional impairment. RESULTS: Comorbid psychopathology and other SUDs were common in latent classes with elevated and very high rates of P-OUD. To illustrate, alcohol use disorder rates were greater than 45%, and posttraumatic stress disorder rates were greater than 28% in classes with higher P-OUD rates. Higher P-OUD rates were associated with White/non-Hispanic and American Indian/Alaska Native populations. Relationships between P-OUD rates and functional impairment were inconsistent. CONCLUSION: Many current treatment delivery systems are not designed to accommodate the heterogeneous profiles associated with high P-OUD rates. We provide specific suggestions for improvements to the mental health service system, individual clinical care programs, and future research approaches. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Deliberative Prescription Opioid Misuse Among Adolescents andEmerging Adults: Opportunities for Targeted Interventions.

BACKGROUND: One in five adolescents and emerging adults have reported prescription opioid misuse (POM), posing significant risks for opioid-related adverse outcomes. Devising prevention strategies requires a better understanding of the decisional factors underlying risky misuse behavior. This research examined the associations between past opioid use behavior, opioid risk knowledge and perceptions, and intentional POM decisions. METHODS: Participants aged 15-23years completed surveys assessing past prescription opioid use and misuse, opioid risk knowledge, opioid risk perceptions, and pain relief preferences (i.e., analgesic benefit vs. risk aversion preference). The outcome, Willingness to Misuse (i.e., intentional decisions to use a prescription opioid in a non-compliant manner) was measured using hypothetical pain decision scenarios. RESULTS: Surveys were completed by 972 adolescents and young adults. In total, 44% had taken a prescription opioid and 32% of these reported past POM. Willingness to Misuse was significantly associated with lower opioid misuse risk perceptions (ß = .75 [95% CI .66-.86]) and past opioid misuse (ß = 1.81 [95% CI 1.13-2.91]) but not simple risk knowledge (ß = .81 [95% CI .58-1.11]. The probability of future misuse was highest for those who reported past opioid misuse and had low risk perceptions (58.7% [95% CI 51.3-65.8]) and high pain relief preferences (53.4% [95% CI 45.3%-61.3%]). CONCLUSIONS: Findings suggest that simple knowledge of prescription opioid risks is insufficient to curtail misuse among adolescents and emerging adults. Rather, it may be important to heighten opioid risk perceptions and strengthen opioid risk aversion values when prescribing opioid analgesics to better prevent future misuse in this high risk population.

Effect of a Scenario-tailored Opioid Messaging Program on Parents' Risk Perceptions and Opioid Decision-making.

OBJECTIVES: Poor parental understanding of prescription opioid risks is associated with potentially dangerous decisions that can contribute to adverse drug events (ADE) in children and adolescents. This study examined whether an interactive Scenario-tailored Opioid Messaging Program (STOMP) would (1) enhance opioid risk perceptions and (2) improve the safety of parents' decision-making. MATERIALS AND METHODS: In total, 546 parents were randomized to receive the STOMP versus control information and 516 completed the program. A baseline survey assessed parents' opioid risk knowledge, perceptions, and preferences for pain relief versus risk avoidance (Pain Relief Preference). Parents then made hypothetical decisions to give or withhold a prescribed opioid for high-risk (excessive sedation) and low-risk (no ADE) scenarios. The STOMP provided immediate feedback with specific risk and guidance information; the control condition provided general information. We reassessed knowledge, perceptions, and decision-making up to 3 days thereafter. RESULTS: Following the intervention, the STOMP group became more risk avoidant (Pain Relief Preference, mean difference -1.27 [95% confidence interval, -0.8 to -1.75]; P<0.001) and gained higher perceptions of the critical risk, excessive sedation (+0.56 [0.27 to 0.85]; P<0.001). STOMP parents were less likely than controls to give a prescribed opioid in the high-risk situation (odds ratio, -0.14 [-0.24 to -0.05]; P=0.006) but similarly likely to give an opioid for the no ADE situation (P=0.192). DISCUSSION: The STOMP intervention enhanced risk perceptions, shifted preferences toward opioid risk avoidance, and led to better decisions regarding when to give or withhold an opioid for pain management. Scenario-tailored feedback may be an effective method to improve pain management while minimizing opioid risks.

Psychological and drug abuse symptoms associated with nonmedical use of opioid analgesics among adolescents.

BACKGROUND: Approximately 18% of US adolescents engaged in prescription opioid abuse in 2013. However, this estimate may be misleading because it includes both medical misusers and nonmedical users, and there is evidence that these are 2 groups that differ relative to substance abuse and criminal risk. Thus, this study does not combine medical and nonmedical users; rather, it seeks to better understand the characteristics of nonmedical users. METHODS: This was a school-based, cross-sectional study that was conducted during 2009-2010 in southeastern Michigan with a sample of 2627 adolescents using a Web-based survey. Three mutually exclusive groups were created based on responses regarding medical and nonmedical use of opioid analgesics. Group 1 had never used an opioid analgesic, Group 2 used an opioid analgesic only as prescribed, and Group 3 nonmedically used an opioid analgesic. In addition, Group 3 was divided into 2 mutually exclusive subgroups (self-treaters and sensation-seekers) based on reasons for nonmedical use. A series of multinomial logistic regressions were conducted to determine if the groups differed on the presence of pain, psychological symptoms (e.g., affective disorder, conduct disorder, attention-deficit/hyperactivity disorder [ADHD]), and drug abuse. RESULTS: Sixty-five percent (65.0%) of the sample was white/Caucasian and 29.5% was African American. The average age was 14.8 years (SD = 1.9). Seventy percent (70.4%; n = 1850) reported no lifetime opioid use, 24.5% (n = 644) were medical users, 3.5% (n = 92) were nonmedical users who used for pain relief only, and 1.6% (n = 41) were classified as nonmedical users for reasons other than for pain relief (e.g., to get high). Both medical users and nonmedical users reported more pain and substance abuse symptoms compared with never users. Those nonmedical users who used opioids for sensation-seeking motivations had greater odds of having psychological symptoms. CONCLUSIONS: These data support the need to further consider subgroups of nonmedical users of opioid analgesics.

Playing through pain: sports participation and nonmedical use of opioid medications among adolescents.

We assessed the nonmedical use of prescription opioids (NMUPO) among adolescents who participate in competitive sports. Using data from Monitoring the Future, we found that adolescent participants in high-injury sports had 50% higher odds of NMUPO than adolescents who did not participate in these types of sports (i.e., nonparticipants and participants in other sports). Detecting certain subpopulations of youths at risk for NMUPO should be a central concern among health care providers.

Coming to terms with the nonmedical use of prescription medications.

In this commentary we highlight limitations with the way nonmedical use of prescription medications has been measured in U.S. national studies. We also offer an alternative way of conceptualizing the nonmedical use of prescription medications for future study.

Does early onset of non-medical use of prescription drugs predict subsequent prescription drug abuse and dependence? Results from a national study.

AIMS: The present study examined the associations between early onset of non-medical use of prescription drugs (NMUPD) (i.e. sedatives, tranquilizers, opioids, stimulants) and the development of prescription drug abuse and dependence in the United States. DESIGN: Data were collected from structured diagnostic interviews using the National Institute on Alcohol Abuse and Alcoholism (NIAAA) Alcohol Use Disorder and Associated Disabilities Interview Schedule: Diagnostic and Statistical Manual version IV (DSM-IV). SETTING: National prevalence estimates were derived from the 2001-2002 National Epidemiologic Survey on Alcohol and Related Conditions (NESARC, n = 43,093). PARTICIPANTS: A nationally representative cross-sectional sample of civilian non-institutionalized adults aged 18 years or older in the United States, of whom 52% were women, 71% white, 12% Hispanic, 11% African American, 4% Asian and 2% Native American or of other racial background. FINDINGS: A higher percentage of individuals who began using prescription drugs non-medically at or before 13 years of age were found to have developed prescription drug abuse and dependence versus those individuals who began using at or after 21 years of age. Multivariate logistic regression analyses indicated that the odds of developing any life-time prescription drug abuse among non-medical users was reduced by approximately 5% with each year non-medical use was delayed [adjusted odds ratio (AOR) = 0.95, 95% CI = 0.94, 0.97], and that the odds of developing any life-time prescription drug dependence were reduced by about 2% with each year onset was delayed (AOR = 0.98, 95% CI = 0.96, 1.00) when controlling for relevant covariates. CONCLUSIONS: The results of this study indicate that early onset of NMUPD was a significant predictor of prescription drug abuse and dependence. These findings reinforce the importance of developing prevention efforts to reduce NMUPD and diversion of prescription drugs among children and adolescents.

Prevalence of illicit use and abuse of prescription stimulants, alcohol, and other drugs among college students: relationship with age at initiation of prescription stimulants.

STUDY OBJECTIVE: To examine associations between age at initiation of prescription stimulants and illicit use and abuse of prescription stimulants, alcohol, and other drugs among college students in the United States. DESIGN: Web-based survey of college students. SETTING: A large (full-time undergraduate population > 20,000) university. INTERVENTION: A Web-based survey was sent to a random sample of 5389 undergraduate college students plus an additional 1530 undergraduate college students of various ethnic backgrounds over a 2-month period. MEASUREMENTS AND MAIN RESULTS: Alcohol abuse was assessed by including a modified version of the Cut Down, Annoyance, Guilt, Eye-opener (CAGE) instrument. Drug use-related problems were assessed with a slightly modified version of the Drug Abuse Screening Test, short form (DAST-10). The final sample consisted of 4580 undergraduate students (66% response rate). For the analyses, five subgroups were created based on age at initiation of prescription stimulant use: no prescription stimulant use, grades kindergarten (K)-4, grades 5-8, grades 9-12, and college. Undergraduate students to whom stimulants were prescribed in grades K-4 reported similar rates of alcohol and other drug use compared with that of the group that had no prescription stimulant use. For example, students who started prescription stimulants in grades K-4 were no more likely to report coingestion of alcohol and illicit prescription stimulants (odds ratio [OR] 1.4, 95% confidence interval [CI] 0.2-11.5, NS] than the group that had no prescription stimulant use. However, undergraduate students whose prescription stimulant use began in college had significantly higher rates of alcohol and other drug use. For example, students who started a prescription stimulant in college were almost 4 times as likely (OR 3.7, 95% CI 1.9-7.1, p<0.001) to report at least three positive indicators of drug abuse on the DAST-10 compared with the group that had no prescription stimulant use. CONCLUSIONS: In concordance with results of previous research, these results indicate that initiation of prescription stimulants during childhood is not associated with increased future use of alcohol and other drugs.