Attention-Deficit Hyperactivity Disorder Stimulant Therapy and Prescription Drug Misuse During Transition to Young Adulthood.

OBJECTIVE: Limited prospective data exist about the impact of stimulant therapy for attention-deficit hyperactivity disorder (ADHD) during adolescence on the risk for later prescription drug misuse (PDM; i.e., of benzodiazepines, opioids, and stimulants). METHODS: National longitudinal multicohort panels (baseline cohort years 2005-2017) of U.S. 12th grade students (N=11,066; ages 17 and 18 years) from the Monitoring the Future study were surveyed via self-administered questionnaires and followed up biennially during young adulthood (ages 19-24). A multivariable analysis was used to assess whether adolescents' lifetime history of stimulant therapy for ADHD was associated with subsequent PDM. RESULTS: Overall, 9.9% of adolescents reported lifetime stimulant therapy for ADHD at ages 17 and 18. No significant differences were found in the adjusted odds of later incidence or prevalence of past-year PDM during young adulthood between adolescents with lifetime stimulant therapy and adolescents with no stimulant therapy. Over the 5-year follow-up, past-year PDM during young adulthood was most prevalent among adolescents who reported both stimulant therapy and prescription stimulant misuse (53.1%) and those who reported prescription stimulant misuse only (51.5%). Compared with adolescents in a control group without lifetime stimulant therapy or misuse, adolescents reporting prescription stimulant misuse had significantly higher adjusted odds of later incidence and prevalence of PDM during young adulthood. CONCLUSIONS: Adolescents' stimulant therapy for ADHD was not significantly associated with increased risk for later PDM during young adulthood. In contrast, adolescents' misuse of prescription stimulants strongly predicted later PDM. Monitoring adolescents for prescription stimulant misuse may help identify and mitigate the risk for future PDM.

Is Early Onset of Nonmedical Prescription Stimulant Use Associated With Cocaine Use During Adolescence? Results From a National Study.

BACKGROUND: To examine the associations between early onset of nonmedical prescription stimulant use (NPSU) and cocaine use. METHODS: Nationally representative samples of high school seniors were surveyed annually. Data were collected via self-administered questionnaires in nationally representative public and private schools in the United States (1976-2020) as part of the Monitoring the Future Study. The sample consisted of 45 cohorts of 12th grade students (N = 121 909). The main outcome was lifetime, past-year, and past-month cocaine use. RESULTS: An estimated one in every 10 (10.1%) individuals reported lifetime NPSU while 8.5% reported any cocaine use. The vast majority of youth (87.2%) initiated NPSU before cocaine among those who reported both substances. Cocaine use was most prevalent among youth who reported early onset of NPSU in 8th grade or earlier (51.7%) followed by those who reported later onset of NPSU in 12th grade (24.7%), and those who never initiated NPSU (3.7%). Binary logistic regression analysis indicated that early onset of NPSU had greater adjusted odds of cocaine use compared to those with later onset of NPSU or those who never reported NPSU. Moreover, the adjusted odds of cocaine use were higher for adolescents who initiated NPSU before or after medical use of prescription stimulants compared to those with no history of medical use or NPSU. Similar results were found for lifetime, past-year, and past-month cocaine use as a function of NPSU onset; this association was stronger among more recent cohorts. CONCLUSIONS: Early onset of NPSU appears to be a signal of increased risk of cocaine use among US adolescents. NPSU should be included in screening and early prevention strategies among secondary school students. Health professionals, school officials, and families are encouraged to monitor youth for NPSU based on the increased risk of later cocaine use and related consequences.

Is age of onset and duration of stimulant therapy for ADHD associated with cocaine, methamphetamine, and prescription stimulant misuse?

BACKGROUND: To assess whether age of onset and duration of stimulant therapy for attention-deficit/hyperactivity disorder (ADHD) are associated with cocaine, methamphetamine, and prescription stimulant misuse during adolescence. METHODS: Nationally representative samples of US 10th and 12th grade students (N = 150,395) from the Monitoring the Future study were surveyed via self-administered questionnaires from 16 annual surveys (2005-2020). RESULTS: An estimated 8.2% of youth received stimulant therapy for ADHD during their lifetime (n = 10,937). More than one in 10 of all youth reported past-year prescription stimulant misuse (10.4%)-past-year cocaine (4.4%) and methamphetamine (2.0%) use were less prevalent. Youth who initiated early stimulant therapy for ADHD (≤9 years old) and for long duration (≥6 years) did not have significantly increased adjusted odds of cocaine or methamphetamine use relative to population controls (ie, non-ADHD and unmedicated ADHD youth). Youth who initiated late stimulant therapy for ADHD (≥10 years old) and for short duration (<1 year) had significantly higher odds of past-year cocaine or prescription stimulant misuse in adolescence than those initiating early stimulant therapy for ADHD (≤9 years old) and for long duration (≥6 years). Youth who initiated late stimulant therapy for ADHD (≥10 years) for short duration (<1 year) had significantly higher odds of past-year cocaine, methamphetamine, and prescription stimulant misuse versus population controls during adolescence. No differences in past-year cocaine, methamphetamine, and prescription stimulant misuse were found between individuals who only used non-stimulant therapy for ADHD relative to youth who initiated early stimulant therapy (≤9 years old) and for long duration (≥6 years). CONCLUSIONS: An inverse relationship was found between years of stimulant therapy and illicit and prescription stimulant misuse. Adolescents with later initiation and/or shorter duration of stimulant treatment for ADHD should be monitored for potential illicit and prescription stimulant misuse.

Cocaine or Methamphetamine Use During Young Adulthood Following Stimulant Use for Attention-Deficit/Hyperactivity Disorder During Adolescence.

Importance: The prescribing of stimulant medications for attention-deficit/hyperactivity disorder (ADHD) has increased in the US. Prescription stimulants are one of the most commonly misused controlled substances during adolescence. Despite a 10-fold increase in stimulant-related overdose deaths in the past decade, the transitions from prescription stimulants to illicit stimulants (eg, cocaine, methamphetamine) remain relatively unknown in longitudinal population-based studies. Objective: To determine the longitudinal transitions from adolescents' prescription stimulant exposure (ie, stimulant therapy for ADHD and prescription stimulant misuse [PSM]) to later cocaine and methamphetamine use during young adulthood. Design, Setting, and Participants: National longitudinal multicohort panels of US 12th grade public and private school students in the coterminous US were assessed annually (baseline cohort years 2005-2017 [between March and June]) and followed up across 3 waves over a 6-year period to 23 to 24 years of age (follow-up years 2011-2021 [between April and October]). Exposure: History of self-reported stimulant therapy for ADHD at baseline. Main Outcomes and Measures: Incidence and prevalence of past-year use of cocaine and methamphetamine during young adulthood (19-24 years of age). Results: Among 5034 students enrolled at baseline (2589 [52.0%] female), 470 (10.2% [95% CI, 9.4%-11.2%]) reported use of stimulant therapy for ADHD, 671 (14.6% [95% CI, 13.5%-15.6%]) reported PSM only, and 3459 (75.2% [95% CI, 73.9%-76.4%]) reported neither (and served as population controls). In controlled analyses, there were no statistically significant differences between adolescents who reported stimulant therapy for ADHD at baseline compared with population controls in the adjusted odds of transitioning to later cocaine or methamphetamine initiation or use during young adulthood (19-24 years of age). In contrast, PSM during adolescence in those not treated with stimulants for ADHD had significantly higher odds of transitioning to later cocaine or methamphetamine initiation and use during young adulthood compared with population controls (adjusted odds ratio, 2.64 [95% CI, 1.54-4.55]). Conclusions and Relevance: In this multicohort study, adolescents' stimulant therapy for ADHD was not associated with increased risk of later cocaine and methamphetamine use during young adulthood. Adolescents' prescription stimulant misuse offered a signal for subsequent cocaine or methamphetamine use and warrants monitoring and screening.

Transitions in Prescription Benzodiazepine Use and Misuse and in Substance Use Disorder Symptoms Through Age 50.

OBJECTIVE: Prescription benzodiazepines are among the most commonly used and misused controlled medications. The authors aimed to examine transitions from medical use of prescription benzodiazepines to prescription benzodiazepine misuse, prescription opioid misuse, and substance use disorder symptoms during adulthood. METHODS: Eleven national cohorts of U.S. 12th graders (N=26,575) were followed up from ages 18 (1976-1986) to 50 (2008-2018). Prescription benzodiazepine misuse, prescription opioid misuse, and substance use disorder symptoms were examined with prevalence estimates and multivariable logistic regression. RESULTS: By age 35, 70.9% of respondents had not used or misused prescription benzodiazepines, 11.3% reported medical use only, 9.8% indicated both medical use and misuse, and 14.1% reported misuse only. In analyses adjusted for demographic and other characteristics, adults reporting only medical use of prescription benzodiazepines by age 35 had higher odds of later prescription benzodiazepine misuse (adjusted OR [AOR]=2.17, 95% CI=1.72-2.75) and prescription opioid misuse (AOR=1.40, 95% CI=1.05-1.86) than respondents ages 35-50 who never used prescription benzodiazepines. More frequent medical use of prescription benzodiazepines by age 35 was associated with increased risk for substance use disorder symptoms at ages 40-50. Any history of prescription benzodiazepine misuse by age 35 was associated with higher odds of later prescription benzodiazepine misuse, prescription opioid misuse, and substance use disorder symptoms, compared with no misuse. CONCLUSIONS: Prescription benzodiazepine use or misuse may signal later prescription drug misuse or substance use disorders. Medical use of prescription benzodiazepines by age 35 requires monitoring for prescription drug misuse, and any prescription benzodiazepine misuse warrants an assessment for substance use disorder.

Prescription Stimulant Medical and Nonmedical Use Among US Secondary School Students, 2005 to 2020.

Importance: Recent information on the prevalence of prescription stimulant therapy for attention-deficit/hyperactivity disorder (ADHD) and nonmedical use of prescription stimulants (NUPS) at the school-level among US secondary school students is limited. Objective: To investigate the school-level prevalence of and association between stimulant therapy for ADHD and NUPS among US secondary school students. Design, Setting, and Participants: This cross-sectional study used survey data collected between 2005 and 2020 as part of the Monitoring the Future study (data collected annually via self-administered survey in schools from independent cohorts). Participants were from a nationally representative sample of 3284 US secondary schools. The mean (SD) response rates were 89.5% (1.3%) for 8th-grade students, 87.4% (1.1%) for 10th-grade students, and 81.5% (1.8%) for 12th-grade students. Statistical analysis was performed from July to September 2022. Main Outcome and Measure: Past-year NUPS. Results: The 3284 schools contained 231 141 US 8th-, 10th-, and 12th-grade students (111 864 [50.8%, weighted] female; 27 234 [11.8%, weighted] Black, 37 400 [16.2%, weighted] Hispanic, 122 661 [53.1%, weighted] White, 43 846 [19.0%, weighted] other race and ethnicity). Across US secondary schools, the past-year prevalence of NUPS ranged from 0% to more than 25%. The adjusted odds of an individual engaging in past-year NUPS were higher at secondary schools with higher proportions of students who reported stimulant therapy for ADHD, after controlling for other individual-level and school-level covariates. Students attending schools with the highest rates of prescription stimulant therapy for ADHD had approximately 36% increased odds of past-year NUPS compared with students attending schools with no medical use of prescription stimulants (adjusted odds ratio, 1.36; 95% CI, 1.20-1.55). Other significant school-level risk factors included schools in more recent cohorts (2015-2020), schools with higher proportions of parents with higher levels of education, schools located in non-Northeastern regions, schools located in suburban areas, schools with higher proportion of White students, and schools with medium levels of binge drinking. Conclusions and Relevance: In this cross-sectional study of US secondary schools, the prevalence of past-year NUPS varied widely, highlighting the need for schools to assess their own students rather than relying solely on regional, state, or national results. The study offered new evidence of an association between a greater proportion of the student body that uses stimulant therapy and a greater risk for NUPS in schools. The association between greater school-level stimulant therapy for ADHD and other school-level risk factors suggests valuable targets for monitoring, risk-reduction strategies, and preventive efforts to reduce NUPS.

Type of medication therapy for ADHD and stimulant misuse during adolescence: a cross-sectional multi-cohort national study.

Background: Attention-deficit/hyperactivity disorder (ADHD) is associated with higher substance use rates. Stimulant and non-stimulant pharmacotherapy improve adolescent ADHD, but their associations with prescription stimulant misuse (PSM), cocaine, and methamphetamine use are unclear. Using 2005-2020 US Monitoring the Future data, we investigated relationships between ADHD pharmacotherapy history and PSM, cocaine, or methamphetamine use. Methods: Secondary students (13-19 years) provided data on pharmacotherapy history (N = 199,560; 86.3% of total sample) between January 1, 2005 and May 31, 2020 in a cross-sectional multi-cohort study; weights assured a nationally representative sample. Participants were grouped by ADHD pharmacotherapy history: none (88.7%; principally non-ADHD controls); stimulant-only (5.8%); non-stimulant-only (3.3%); both stimulant and non-stimulant (2.1%). Outcomes were past-year PSM, cocaine, and methamphetamine use. Logistic regressions examined relationships between pharmacotherapy history and outcomes, controlling for sociodemographics, recent substance use, and stimulant treatment cessation. Findings: Past-year outcome rates were lowest in adolescents with no pharmacotherapy history: 4.7% for PSM [8310/174,561], 1.6% for cocaine [2858/174,688], and 0.7% for methamphetamine [1036/148,378]. A history of both stimulant and non-stimulant treatment was associated with the highest rates: 22.3% for PSM [940/4098], 10.4% for cocaine [450/4110], and 7.8% for methamphetamine [275/3427]. Adolescents who received monotherapy (stimulant- or non-stimulant-only) had intermediate rates, with no differences between monotherapy groups. Interpretation: While elevated PSM and illicit stimulant use rates are likely influenced by ADHD, our findings suggested adolescents with a history of both stimulant and non-stimulant pharmacotherapy are at highest risk for these stimulant outcomes. Adolescents receiving ADHD pharmacotherapy should be monitored for PSM and illicit stimulant use. Funding: National Institute on Drug Abuse/National Institutes of Health (USA) and Food and Drug Administration (USA).

Age 18-30 trajectories of binge drinking frequency and prevalence across the past 30 years for men and women: Delineating when and why historical trends reversed across age.

Historical analyses based on US data indicate that recent cohorts engage in lower binge drinking at age 18 relative to past cohorts, but by the mid- to late-20s the reverse is true: recent cohorts engage in higher binge drinking relative to past cohorts. We pinpoint when - both developmentally and historically - this reversal manifested, examine possible reasons for this reversal, and examine sex convergence in these developmental and historical patterns. As part of the US national Monitoring the Future Study, over 75,000 youths from the high school classes of 1976-2006 were surveyed biennially between ages 18 and 30. We found that the reversal primarily manifested between ages 18 and 24 for men and 18 and 22 for women. We also found that the reversal emerged gradually across the last three decades, suggesting it is the result of a broad and durable historical shift. Our findings indicated that historical variation in social roles and minimum legal drinking age collectively accounted for only a modest amount of the reversal, although marriage was the most influential among the factors examined here. Finally, we found evidence that sex convergence in binge drinking was developmentally limited and far more pronounced at the beginning of the transition to adulthood.

The Initiation and Developmental Course of Prescription Drug Misuse Among High School Athletes During the Transition Through Young Adulthood.

The objective of this study was to examine the extent to which involvement in high-contact, semicontact, or noncontact sports during the 12th grade is associated with the initiation and developmental course of prescription drug misuse (PDM) between ages 17/18 years and 27/28 years. Data were collected from a national multicohort panel sample of US 12th-graders (cohorts 2006-2017; n = 4,772) from the Monitoring the Future Study who were followed for a decade, through age 27/28 years. Approximately 31% of high school seniors indicated PDM at baseline (age 17/18 years). While past-year PDM remained relatively stable between ages 17/18 years and 27/28 years, participation in both noncontact (adjusted odds ratio = 1.40, 95% confidence interval: 1.02, 1.91) and contact (adjusted odds ratio = 1.57, 95% confidence interval: 1.08, 2.28) sports in the 12th grade increased the odds of initiating prescription stimulant misuse during the 10 years following high school as compared with respondents who did not participate in these types of sports in the 12th grade. To our knowledge, this is the first national study to have assessed how sports participation during high school is associated with the initiation and developmental course of PDM from adolescence to young adulthood. These findings reinforce the need for PDM screening during adolescence, as nearly 1 in 3 high school seniors engage in PDM. Increased prescription stimulant misuse following high school warrants ongoing monitoring during young adulthood, especially among athletes.

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.

Longitudinal Analysis of Substance Use Disorder Symptom Severity at Age 18 Years and Substance Use Disorder in Adulthood.

Importance: Although more than 1 in every 3 US individuals will develop a substance use disorder (SUD) in their lifetime, relatively little is known about the long-term sequelae of SUD symptoms from adolescence through adulthood. Objective: To evaluate the longitudinal associations between adolescents' SUD symptom severity with later medical use of prescription drugs (ie, opioids, sedatives, and tranquilizers), prescription drug misuse (PDM), and SUD symptoms at ages 35 to 50 years. Design, Setting, and Participants: Eleven cohorts of US 12th grade students were followed longitudinally from age 18 years (1976-1986) to age 50 years (2008-2018) in the Monitoring the Future (MTF) study. Baseline surveys were self-administered in classrooms, and follow-ups were conducted by mail. Data were analyzed from June 2021 to February 2022. Exposure: Response to MTF study between 1976 and 2018. Main Outcomes and Measures: Sociodemographic variables were measured at baseline. All bivariate and multivariate analyses use attrition weights to adjust for attrition by age 50 years within the sample. SUD symptoms, prescription drug use, and PDM were measured at baseline and every follow-up. Results: The sample of 5317 individuals was 51.2% female (2685 participants; 95% CI, 49.6%-52.6%) and 77.9% White (4222 participants; 95% CI, 77.6%-79.1%). Participants were surveyed beginning at age 18 years and ending at age 50 years. The baseline response rate ranged from 77% to 84%, and the 32-year retention rate was 53%. Most adolescents with most severe SUD symptoms at age 18 years had 2 or more SUD symptoms in adulthood (316 participants [61.6%]; 95% CI, 55.7%-66.9%), and this association held for baseline alcohol, cannabis, and other drug use disorder symptoms. Adolescents with the highest SUD symptom severity at age 18 years had the highest adjusted odds of prescription drug use and PDM in adulthood (4-5 symptoms, adjusted odds ratio, 1.56; 95% CI, 1.06-2.32; ≥6 symptoms, adjusted odds ratio, 1.55; 95% CI, 1.11-2.16). The majority of adults using prescribed opioids, sedatives, or tranquilizers (568 participants [52.2%]; 95% CI, 48.4%-55.9%) in the past year had multiple SUD symptoms at age 18 years. Conclusions and Relevance: These findings suggest that most adolescents with severe SUD symptoms do not transition out of symptomatic substance use, and the long-term sequelae for adolescents with more severe SUD symptoms are more deleterious than those for adolescents with no or low severity. Prescribers should be aware that many adults prescribed opioids, sedatives, or tranquilizers had multiple SUD symptoms during adolescence and require careful assessment and monitoring.

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.

Alcohol use and the COVID-19 pandemic: Historical trends in drinking, contexts, and reasons for use among U.S. adults.

OBJECTIVE: The current study used U.S. national data to examine drinking trends prior to and during the COVID-19 pandemic in 2020, focusing on changes in U.S. young- and middle-adult alcohol prevalence, frequency, and drinking contexts and reasons, and whether they differed by age and college status. METHODS: Data from 2015 to 2020 from 16,987 young adults (ages 19-30) and 23,584 middle adults (ages 35-55) in the national Monitoring the Future study were used to model historical trends and potential 2020 shifts (data collection April 1 to November 30, 2020) in prevalence (30-day, daily, binge drinking) and frequency (30-day, binge drinking). For young adults, data on drinking contexts and negative affect reasons for drinking were examined. Moderation by age and college status was also tested. RESULTS: 2020 was associated with (1) downward deviation in 30-day (young and middle adults) and binge drinking (young adults) prevalence; (2) upward deviation in daily drinking prevalence (middle adults); (3) among drinkers, upward deviation in frequency of 30-day (young and middle adults) and binge drinking (young adults); and (4) changes in drinking contexts and reasons among drinkers. Among college students, in particular, 2020 was associated with a downward deviation from expected historical trends in drinking prevalence. Upward deviations in daily prevalence and both binge and 30-day drinking frequency were stronger at ages 25-30 (vs. 19-24) and 35-45 (vs. 50-55). CONCLUSIONS: Among U.S. young and middle adults, deviations from expected historical trends in population alcohol use that occurred during the pandemic included decreases in alcohol use prevalence, increases in alcohol use frequency, and increases in the use of alcohol to relax/relieve tension and because of boredom. These shifts were likely due, in part, to drinking while alone and at home-which increased during the pandemic.

The destabilization and destandardization of social roles across the adult life course: Considering aggregate social role instability and its variability from a historical-developmental perspective.

Existing research focused on social role destabilization (historical increases in role instability) and destandardization (historical increases in variability of role instability) has primarily focused on discrete social roles during discrete periods of development. Building on this work, we applied a macro approach to elucidate the extent to which historical trends toward destabilization and destandardization are occurring at the aggregate among a key set of social roles (union formation, education, residential independence, and employment) and across the whole of adulthood. Applying a historical-developmental approach, we also document how historical trends toward destabilization and destandardization vary by age. We used 3 historical, longitudinal data sets: the Monitoring the Future study (N = 69,464; 55.4% women; 75.5% white), the Panel Study of Income Dynamics (N = 45,001; 51.4% women; 54.3% white), and The Health and Retirement Study (N = 30,913; 53.6% women; 75.6% white) that collectively cover the entire adult life course and over a century of U.S. birth cohorts. We found that aggregate destabilization and destandardization have occurred across the entirety of adulthood, although trends appear more pronounced at either end of the adult life course and the specific roles driving both trends vary across the adult life course. Findings were robust for educational attainment, and destabilization and destandardization were more pronounced among women. Findings highlight the importance of considering social role changes at the aggregate and singularly, and the need to evaluate social role changes in any 1 period of adulthood in conjunction with those occurring in other periods of adulthood. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Trajectories of Prescription Drug Misuse Among US Adults From Ages 18 to 50 Years.

Importance: US adults born from 1965 to 1996 had high exposure to controlled medications, yet little is known about how this exposure has affected them over time. Prescription drug misuse (PDM) has increased among adults in the past 2 decades, with related increases in emergency department visits, overdoses, and deaths. Objectives: To identify 32-year PDM trajectories involving opioids, stimulants, and sedatives or tranquilizers and to examine associations between these PDM trajectories and substance use disorder (SUD) symptoms in adulthood as well as between baseline characteristics and PDM trajectories. Design, Setting, and Participants: This cohort study included 11 cohorts of adolescents who were followed up longitudinally from age 18 years (study start, 1976-1986) to age 50 years (2008-2018) in the Monitoring the Future (MTF) study, which included a national multistage random sample of US 12th grade students. Baseline surveys (modal age 18) were self-administered in classrooms. Ten follow-ups were conducted by mail. Data analysis was conducted from December 2020 to October 2021. Main Outcomes and Measures: Sociodemographic variables were measured at baseline. PDM and SUD symptoms were measured at baseline and every follow-up. Latent profile analysis (LPA) was used to create PDM trajectory profiles. Associations between these PDM trajectories, SUD symptoms, and baseline sociodemographic characteristics were examined. Results: The sample of 26 575 individuals was 50.8% (95% CI, 50.2%-51.4%) female and 79.3% (95% CI, 78.8%-79.8%) White. The baseline response rate ranged from 77% to 84%, and the 32-year retention rate was 53%. In adjusting for attrition, 45.7% (95% CI, 44.9%-46.4%) of the respondents reported past-year PDM at least once during the 32-year reporting period. Among those who reported PDM, the prevalence of poly-PDM was 40.3% (95% CI, 39.3%-41.3%). Based on LPA, the number of class-specific PDM trajectories ranged from 4 (prescription opioids) to 6 (prescription stimulants). For the class-combined analyses, we identified 8 PDM trajectories consisting of early peak trajectories (eg, age 18 years), later peak trajectories (eg, age 40 years), and a high-risk trajectory (eg, high frequency PDM at multiple ages). All PDM trajectories were associated with increased odds of developing SUD symptoms in middle adulthood, especially the later peak and high-risk trajectories compared with early peak trajectories (eg, peak at age 40 years: adjusted odds ratio [aOR], 5.17; 95% CI, 3.97-6.73; high-risk: aOR, 12.41; 95% CI, 8.47-18.24). Baseline characteristics associated with a high-risk trajectory were binge drinking (aOR, 1.69; 95% CI, 1.13-2.54), cigarette smoking (aOR, 2.30; 95% CI, 1.60-3.29), and marijuana use (aOR, 3.78; 95% CI, 2.38-6.01). More recent cohorts (eg, 1985-1986) had a higher risk of belonging to later peak PDM trajectories (ages 40 and 45 years) than the 1976-1978 cohort (age 40 years peak: aOR, 2.49; 95% CI, 1.69-3.68). Conclusions and Relevance: In this cohort study, adults with later peak PDM trajectories were at increased risk of SUD symptoms in middle adulthood. These findings suggest the need to screen for PDM and SUD from adolescence through middle adulthood.

Building on a Sequential Mixed-Mode Research Design in the Monitoring the Future Study.

Given the promise of the web push plus e-mail survey design for providing cost-effective and high-quality data (Patrick et al. 2018, 2019) as an alternative to a paper-and-pencil mailed survey design for the longitudinal Monitoring the Future (MTF) study, the current study sought to further enhance the web push condition. The MTF sample is based on US nationally representative samples of 12th grade students surveyed annually. The MTF control group for the current study included participants who completed the in-school baseline survey in the 12th grade and were selected to participate in their first follow-up survey in 2017 via mailed surveys (N = 1,222). A supplementary sample (N = ∼2,450) was assigned to one of the two sequential mixed-mode conditions. Those in condition 1 (N = 1,198), or mail push, were invited to complete mailed surveys and later given a web survey option. Those in condition 2 (N = 1,173), or enhanced web push, were invited to complete a web survey (the same as in the 2014 study, but with the addition of text messages and quick response (QR) codes and the web survey was optimized for mobile devices) and then later given a mailed survey option. Research aims were to examine response rates across conditions, as well as how responses were distributed across mode (paper, web), devices (computer, smartphone, table), and method of accessing the web survey (hand-entered URL, QR code, e-mail link, SMS link). Response rates differed significantly: the MTF control group was 34.2 percent, mail push was 35.4 percent, and enhanced web push was 42.05 percent. The higher response rate in the enhanced web push condition suggests that the additional strategies were effective at bringing in more respondents. Key estimates produced by the enhanced web push condition did not differ from those of the MTF control group.

Negative evaluation of role transitions is associated with perceived stress and alcohol consequences: Examination of the Transitions Overload Model in young adulthood using two years of monthly data.

BACKGROUND: Young adulthood is characterized by transitions into and out of social roles in multiple domains. Consistent with self-medication models of alcohol use, the Transitions Overload Model (J Stud Alcohol Suppl, 14, 2002, 54) hypothesizes that one cause of increased alcohol use during young adulthood may be the stress of navigating simultaneous role transitions. This study examined the simultaneous occurrence of major developmental role transitions in the domains of education, employment, romantic relationships, and residential status and their associations with perceived stress, heavy episodic drinking (HED), and negative alcohol-related consequences. Further, we extended the Transitions Overload Model to explore whether the number of transitions rated as having a negative impact on one's life was related to perceived stress, HED, and alcohol-related consequences. METHODS: A community sample of young adult drinkers (N = 767, 57% women, ages 18 to 25 years) in the Pacific Northwest provided monthly data across 2 years. Multilevel models were used to assess the average (between-person) and month-to-month (within-person) associations of role transitions with perceived stress, HED, and negative alcohol-related consequences. RESULTS: Although having more role transitions was positively associated with HED frequency and alcohol-related consequences at both the between- and within-person (monthly) levels, it was not associated with increased stress. The number of transitions rated as having a negative impact on one's life, however, was positively associated with stress. Thus, rather than the total number of transitions, it is the number of negatively perceived major developmental role transitions that is associated with perceived stress and increased risk for negative alcohol-related consequences. CONCLUSIONS: Contrary to Transitions Overload Model assumptions, more transitions were not a significant predictor of more perceived stress; rather, the evaluation of the transition as negative was associated with stress and negative alcohol-related outcomes. This distinction may help elucidate the etiology of stress and subsequent alcohol consequences and identify individuals at-risk of these effects.

Cohort and age trends in age 35-45 prevalence of alcohol use disorder symptomology, by severity, sex, race, and education.

AIMS: To present national trends by age and cohort among middle-aged adults in the prevalence of AUD symptomology, by severity, sex, race, and education. DESIGN: National, multi-cohort longitudinal probability samples of US adults, with data collected at ages 35, 40, and 45 among 14 cohorts who reached age 45 between 2003 and 2016. SETTING: Data were collected via self-administered questionnaires to adults in the United States. PARTICIPANTS: The sample consisted of 20,634 individuals. MEASUREMENTS: 5-year prevalence of symptoms consistent with a DSM-5 AUD. FINDINGS: Between ages 35-45 prevalence of any AUD symptoms decreased 19 %; decreases were most evident between ages 35-40. From 2003 to 2016, AUD symptoms were steady across cohort. However, because the pace of decrease across ages 35-45 slowed across cohort, cohort differences emerged at specific ages: age 35 prevalence decreased 18 % across cohort, but age 45 prevalence was equivalent across cohort. Age and cohort effects, and their interaction, did not vary by AUD severity level. Declines in AUD symptoms across age were 17 % slower for women, and declines in AUD symptoms across age and cohort were 11 % and 29 % slower, respectively, for those with a college degree. The protection afforded by a college degree was reversed among mild AUD and most pronounced for severe AUD. CONCLUSIONS: AUDs may be more plastic and responsive to intervention during early mid-life than later. Despite progress in reducing the burden of AUD in the US population among younger middle-aged adults, an increased focus remains necessary as they continue to age.

Transitions Catalyst Model: Testing within- and between-Person Associations between Social Relationships and Alcohol Use, Motives, and Consequences among Young Adults.

Background: The Transitions Catalyst Model suggests increased drinking during young adulthood is due to the notion that alcohol facilitates friendships and romantic/sexual relationships during a developmental period when these relationships are highly valued. However, little research has tested the utility of this model. We examined (1) whether young adults reported greater drinking and related consequences on months when friendships were more important to them or when they were dating casually, and (2) the extent to which social drinking motives explain these associations on a given month. Methods: Data were drawn from 752 young adults (ages 18-23 at screening) living in the Seattle, WA area (56.4% female). For 24 consecutive months, surveys assessed past month alcohol use and consequences, social drinking motives, friendship importance, and dating/relationship status. Bayesian multilevel models were conducted, adjusting for time-fixed and time-varying covariates. Results: Analyses included 11,591 monthly observations. Between-persons, greater average friendship importance was associated with greater drinking. On months when participants reported greater friendship importance than their own average, they reported greater drinking and alcohol consequences. Those who reported more months of casual dating reported greater drinking and consequences on average. Relative to casual dating months, participants reported less drinking during months they were single or in a relationship and fewer consequences during months in a relationship. Associations were partially accounted for by social motives. Discussion: Findings support the Transitions Catalyst Model. Effective strategies for reducing drinking and associated risks among young adults include brief interventions focused on how social drinking motives and relationships relate to drinking decisions.