Predictors and consequences of prescription drug misuse during middle school

Over-the-Counter Cough Medicine and Prescription Drug Misuse among Adolescents and Young Adults

Over-the-counter (OTC) cough medicine misuse represents a significant risk for adolescents and young adults. Although OTC cough medicine is widely seen as nonharmful due to its ease of access, misuse can lead to tachycardia, seizures, dissociative effects, and dependence. Despite these risks, little is known regarding the correlates and outcomes of OTC cough medicine misuse. This study examined correlations of having misused OTC cough medicine and past-year misuse of prescription drugs, with a specific focus on differences among age, gender, and race/ethnicity. Bivariate relationships were first examined using Pearson's chi-square tests, with OTC cough medicine misuse being significantly related to prescription drug misuse, older age, cigarette use, marijuana use, and binge drinking. Using logistic regression, OTC cough medicine misuse was shown to be a significant predictor of past-year prescription drug misuse (adjusted odds ratio = 5.22, 95% confidence interval [3.57, 7.64]). Additional logistic regression models were used to assess for interaction effects for age, gender, and race/ethnicity, with all three variables acting as significant moderators.

Nonmedical Use of Controlled Medications by Adolescents and Young Adults: Clinical Report

Nonmedical prescription drug use (NMPDU), the use of controlled prescription medications for purposes other than initially intended by the prescriber, is common among adolescents and young adults (AYAs). Prescription stimulants, sedatives, and opioid medications are the 3 main categories of controlled medications nonmedically used by AYAs. The intent of this clinical report is to provide an overview of the epidemiology, motives, sources, and risk factors of NMPDU among AYAs. This report also describes acute and long-term morbidity and mortality associated with NMPDU and discusses the importance of primary and secondary prevention to reduce the burden of NMPDU among AYAs. This report concludes with a series of recommendations on how pediatricians can address NMPDU with patients and their families.

Opioid misuse during late adolescence and its effects on risk behaviors, social functioning, health, and emerging adult roles

Opioid misuse has emerged in recent years as a major public health concern in the United States, particularly for adolescents and emerging young adults. We examined the association of opioid misuse from ages 18 to 20 with four domains at age 21-22: risk behaviors and consequences; health; social functioning; and emerging adult roles. Participants were surveyed annually from 2008 through 2019. The sample includes N = 2880 youth from waves 8-11. The sample was approximately 18 years old at wave 8; 54% female, 46% Hispanic, 20% white, 20% Asian, 2% Black, and 11% multiracial. Opioid misuse was low in this general sample of young adults, with about 4% reporting misuse from age 18-20. We used latent growth curve modeling to examine how misuse from ages 18-20 was associated with functioning at age 21-22. Adolescents who reported opioid misuse at age 18 also reported more negative consequences from alcohol and cannabis use and greater odds of other prescription drug misuse at age 21-22 than those with no misuse. Those reporting opioid misuse at age 18 were also more likely to engage in sexual risk behaviors, report delinquent behavior, and have a higher likelihood of experiencing sexual victimization and engaging in sexual perpetration at age 21-22 than those with no misuse. Neither the intercept nor slope of opioid misuse was associated with depression, anxiety, physical health or ailments, satisfaction with friends, romantic relationship functioning, or emerging adult roles at wave 11. Findings highlight the importance of screening and brief intervention for adolescents reporting opioid misuse.

Prescription Drug Misuse: Taking a Lifespan Perspective

Prescription drug misuse (PDM), or medication use without a prescription or in ways not intended by the prescriber, is a notable public health concern, especially in the United States. Accumulating research has characterized PDM prevalence and processes, but age-based or lifespan changes in PDM are understudied. Given age-based differences in the medical or developmental concerns that often underlie PDM, it is likely that PDM varies by age. This review summarizes the literature on PDM across the lifespan, examining lifespan changes in prevalence, sources, motives and correlates for opioid, stimulant, and tranquilizer/sedative (or benzodiazepine) PDM. In all, prevalence rates, sources and motives vary considerably by age group, with fewer age-based differences in correlates or risk factors. PDM prevalence rates tend to decline with aging, with greater use of physician sources and greater endorsement of self-treatment motives in older groups. Recreational motives (such as to get high) tend to peak in young adulthood, with greater use of peer sources or purchases to obtain medication for PDM in younger groups. PDM co-occurs with other substance use and psychopathology, including suicidality, across age groups. The evidence for lifespan variation in PDM is strongest for opioid PDM, with a need for more research on tranquilizer/sedative and stimulant PDM. The current literature is limited by the few studies of lifespan changes in PDM within a single sample, a lack of longitudinal research, little research addressing PDM in the context of polysubstance use, and little research on minority groups, such as sexual and gender minorities.

The Use of Non-Prescribed Prescription Drugs and Substance Use Among College Students: A 9-Year Follow-Up Cohort Study

The use of non-prescribed prescription drugs (NPPD) is common in post-modern societies and a significant proportion of youth consume NPPD concomitantly to other drugs. We studied the prevalence of this consumption among university students in Spain, and its relationship to different patterns of alcohol, tobacco, and cannabis use. A cohort study among university students (n=1,380) (2005-2015) was carried out. Students completed self-administered questionnaires at initial (n=1,363, 98.7%), at 2 years (n=875, 75%) and 9 years of follow-up (n=415, 30.5%). Consumption of medicines (last 15 days), risky alcohol consumption (RC), heavy episodic drinking (HED), and tobacco and cannabis use were measured. Multilevel logistic regressions for repeated measures were generated using consumption of medicines with or without medical prescription as dependent variables. Prevalence of RC, HED, tobacco and cannabis had significant reductions during the follow-up. The use of NPPD increased over time, from 35.5% and 33.3% at 18 and 22 years old, respectively, to 49.6% at 27 years old. The highest rates were found among cannabis, tobacco, RC and HED users. For females, cannabis and RC constitute signitifant risk factors for use of NPPD. Conversely, for males, tobacco and cannabis were risk factors for such use of medicines. Later onset of alcohol consumption constitutes a protective factor for females. Our results reveal high prevalence of NPDD among university students. Those who consume NPPD are -at the same time- more likely to be alcohol, tobacco, and cannabis users than those who take medication under prescription. Preventive strategies should be reinforced and focused on this target population to decrease these high levels of poly-consumption.

Heavy Drinking and Non-Medical Use of Prescription Drugs among University Students: A 9-Year Follow-Up

Purpose: Investigations suggest non-medical use of prescription drugs (NMUPD) is associated with heavy drinking and polydrug use among university students. Our aim is to determine the prevalence of NMUPD among university students and to analyze its association with alcohol, tobacco, and cannabis use, and to study the role of the age of drinking onset. Methods: Cohort study among university Spanish students (n = 1382). Heavy drinking (HED) and risky consumption (RC) were measured with the Alcohol Use Disorders Identification Test. Questions related to tobacco and cannabis consumption were also formulated. NMUPD refers to sedative, anxiety, or pain medication intake within the last 15 days without medical prescription. All variables were measured at 18, 20, and 27 years. Multilevel logistic regression for repeated measures was used to obtain adjusted OR (odds ratios). We analyzed the results from a gender perspective. Results: Prevalence of NMUPD were higher in students who already partook in NMUPD at the beginning of the study. NMUPD in women at 27 is 3 times higher than at 18, while in men it is twice. Among females, RC (OR = 1.43) and cannabis consumption (OR = 1.33) are risk factors for NMUPD, while later onset of alcohol use (OR = 0.66) constitutes a protective factor. No significant differences were found for males. Conclusions: NMUPD is prevalent among university students. RC and early onset of alcohol use were associated with higher prevalence of NMUPD in females. The prevalence of NMUPD increased with age in both sexes. Strategies for reducing risky drinking and delaying onset of drinking should be provided for university students. Pharmacists and parents should be alerted to the risk of NMUPD.

Sources of Nonmedical Prescription Drug Misuse Among US High School Seniors: Differences in Motives and Substance Use Behaviors

OBJECTIVE

To examine whether sources of nonmedical use of prescription drugs (NMUPD) involving anxiolytics, opioids, and stimulants were associated with sociodemographic characteristics, NMUPD characteristics (eg, frequency), and other substance use.

METHOD

Nationally representative samples of US high school seniors (N = 18,549) were surveyed by self-administered questionnaires (2009-2016). Design-based latent class analysis and Rao-Scott χ2 tests were used to test associations among sociodemographic characteristics, NMUPD characteristics, other substance use behaviors (eg, binge drinking, cigarette smoking, marijuana use), and NMUPD sources.

RESULTS

Approximately 11.0% of high school seniors reported past-year NMUPD (n = 1,917). A substantial proportion of nonmedical users obtained the prescription drugs from multiple sources (44.2%). Latent class analysis identified 5 subgroups of NMUPD sources (friend/relative sources, friend/purchased sources, own leftover prescription, multiple sources, and other sources). Nonmedical users who obtained prescription drugs from friend/purchased sources were more likely to be adolescent boys, whereas those who used their own leftover prescriptions were more likely to be adolescent girls. Nonmedical users who obtained prescription drugs from multiple sources were more involved in substance use. In contrast, adolescent nonmedical users who used their own leftover prescriptions were less involved in substance use.

CONCLUSION

Growing evidence indicates that different NMUPD sources are associated with different substance use behaviors. All NMUPD sources should be discouraged, because they place individuals, families, and communities at risk. Patients and their families should receive education on how to manage and properly dispose of controlled medications to avoid diversion into the community. Prescribers are encouraged to check prescription monitoring programs and screen adolescents for substance use/misuse when prescribing controlled medications.

Prescription Drug Misuse: Sources of Controlled Medications in Adolescents

OBJECTIVE

Adolescent controlled prescription drug misuse (PDM) co-occurs with significant consequences, including lower educational achievement, substance use disorder (SUD) symptoms, and psychopathology. Nonetheless, adolescent PDM sources and the prevalence of other substance use, SUD, and mental health outcomes associated with sources remain poorly understood.

METHOD

Data were from the 2009 to 2014 National Survey on Drug Use and Health, including 103,920 adolescents (12-17 years of age). Six mutually exclusive sources were used: physician source only, theft/fake prescription only, friend/relative for free only, purchases only, other source only, or multiple sources. Analyses occurred separately for prescription opioids, stimulants, and tranquilizer/sedatives. PDM source prevalence across adolescents and by sex and school enrollment/engagement were estimated. Adjusted odds of past-year DSM-IV substance-specific SUD, marijuana use, any SUD, major depressive disorder (MDD), anxiety diagnosis, mental health treatment, and past-month binge drinking were estimated by source.

RESULTS

Friends/relatives, for free, was the most common source (29.0%-33.2%), followed by physician sources for opioids (23.9%), purchases for stimulants (23.5%), and tranquilizer/sedatives (22.7%). Few school enrollment/engagement differences existed, but female adolescents were more likely to use multiple sources. Over 70% of adolescents using multiple sources had a past-year SUD. Multiple sources, purchases, and theft/fake prescription were more strongly associated with other substance use than physician source use, and multiple source use was linked with MDD.

CONCLUSION

Adolescents using multiple sources, purchases and theft/fake prescriptions have elevated rates of other substance use, SUD and MDD and particularly warrant intervention. Also, adolescents with other SUD and MDD should be screened for PDM and misuse sources.

Non-medical use of prescription drugs by young men: impact of potentially traumatic events and of social-environmental stressors

Background: Non-medical use of prescription drugs (NMUPD) is an increasing phenomenon associated with physical and psychological consequences. This study investigated the effects of distinct forms of stress on NMUPD. Methods: Data from 5308 young adult men from the Swiss cohort study on substance use risk factors (C-SURF) were analysed regarding NMUPD of sleeping pills, tranquilizers, opioid analgesics, psychostimulants, and antidepressants. Various forms of stress (discrete, potentially traumatic events, recent and long-lasting social-environmental stressors) during the period preceding the NMUPD assessment were measured. Backward log-binomial regression was performed and risk ratios (RR) were calculated. Results: NMUPD was significantly associated with the cumulative number of potentially traumatic events (e.g. for opioid analgesics, RR = 1.92, p < .001), with problems within the family (e.g. for sleeping pills, RR = 2.45, p < .001), and the peer group (e.g. for tranquilizer use, RR = 2.34, p < .01). Factors describing family functioning in childhood showed very few significant associations. Sexual assault by acquaintances was associated only with use of sleeping pills (RR = 2.91, p p <.01); physical assault by acquaintances was not associated with NMUPD. Physical (e.g. for psychostimulants, RR = 2.01, p < .001) or sexual assaults (e.g. for antidepressants, RR = 4.64, p < .001) perpetrated outside the family context did show associations with several drug categories. Conclusion: NMUPD appears to be more consistently associated with discrete and potentially traumatic events and with recent social-environmental stressors than with long-lasting stressors due to family functioning during childhood and youth. Physical and sexual assaults perpetrated by strangers showed more associations with NMUPD than those perpetrated by a family member.

National substance use patterns on Twitter

Purpose

We examined openly shared substance-related tweets to estimate prevalent sentiment around substance use and identify popular substance use activities. Additionally, we investigated associations between substance-related tweets and business characteristics and demographics at the zip code level.

Methods

A total of 79,848,992 tweets were collected from 48 states in the continental United States from April 2015-March 2016 through the Twitter API, of which 688,757 were identified as being related to substance use. We implemented a machine learning algorithm (maximum entropy text classifier) to estimate sentiment score for each tweet. Zip code level summaries of substance use tweets were created and merged with the 2013 Zip Code Business Patterns and 2010 US Census Data.

Results

Quality control analyses with a random subset of tweets yielded excellent agreement rates between computer generated and manually generated labels: 97%, 88%, 86%, 75% for underage engagement in substance use, alcohol, drug, and smoking tweets, respectively. Overall, 34.1% of all substance-related tweets were classified as happy. Alcohol was the most frequently tweeted substance, followed by marijuana. Regression results suggested more convenience stores in a zip code were associated with higher percentages of tweets about alcohol. Larger zip code population size and higher percentages of African Americans and Hispanics were associated with fewer tweets about substance use and underage engagement. Zip code economic disadvantage was associated with fewer alcohol tweets but more drug tweets.

Conclusions

The patterns in substance use mentions on Twitter differ by zip code economic and demographic characteristics. Online discussions have great potential to glorify and normalize risky behaviors. Health promotion and underage substance prevention efforts may include interactive social media campaigns to counter the social modeling of risky behaviors.

Individual, peer, and family factor modification of neighborhood-level effects on adolescent alcohol, cigarette, e-cigarette, and marijuana use

BACKGROUND

Neighborhood factors reported subjectively by residents and measured objectively at the census tract are both associated with adolescent alcohol, tobacco (cigarette and electronic cigarette), and other drug (marijuana) (ATOD) use. Less clear is how these neighborhood factors are longitudinally associated with each substance. Equivocal findings may be due to lack of consideration of individual, peer, and family effect modifiers, which could help adolescents overcome exposure to stressful neighborhood environments.

METHODS

We used multivariate logistic regressions with interaction terms to test whether parental monitoring, resistance self-efficacy (RSE) and being around peers who use ATOD modified the association between four subjective and objective neighborhood measures and odds of using each substance measured one year later among 2539 high school students and college freshmen originally recruited from middle schools in Southern California.

RESULTS

Census tract-level disadvantage was not longitudinally associated with ATOD use. However, perceptions of higher neighborhood disorganization, less social cohesion, and more neighborhood problems with alcohol and drug use were associated with higher odds of ATOD use. Higher RSE and weaker affiliations with peers who use ATOD consistently buffered negative effects of neighborhood disorganization and neighborhood problems with alcohol and drugs on past year ATOD use.

CONCLUSIONS

Community-level programs that increase social cohesion among neighbors, neighborhood monitoring of deviant behaviors, and better policing of open drug selling may prevent ATOD use. Programs should also target RSE and minimize affiliations with peers who use ATOD, which could reduce the magnitude of the association with ATOD, even for adolescents living in the most at-risk neighborhoods.

Alcohol mixed with energy drinks: Associations with risky drinking and functioning in high school

BACKGROUND

Mixing alcohol with energy drinks is associated with heavier drinking and related problems among college students. However, little is known about how high school drinkers who mix alcohol with energy drinks (AmED) compare to those who do not (AwoED). This study compares high school AmED and AwoED users on their alcohol use during middle and high school, as well as key domains of functioning in high school.

METHODS

Two surveys were conducted three years apart in adolescents initially recruited from 16 middle schools in Southern California. The analytic sample consists of 696 past month drinkers. Multivariable models compared AmED and AwoED users on alcohol use, mental health, social functioning, academic orientation, delinquency and other substance use at age 17, and on their alcohol use and related cognitions at age 14.

RESULTS

AmED was reported by 13% of past month drinkers. AmED and AwoED users did not differ on alcohol use or cognitions in middle school, but AmED users drank more often, more heavily, and reported more negative consequences in high school. AmED users were also more likely to report poor grades, delinquent behavior, substance use-related unsafe driving, public intoxication, and drug use than AwoED users in high school. Group differences were not found on mental health, social functioning, or academic aspirations.

CONCLUSIONS

AmED use is common among high school drinkers. The higher risk behavioral profile of these young AmED users, which includes drug use and substance use-related unsafe driving, is a significant cause for concern and warrants further attention.

Alcohol and marijuana use trajectories in a diverse longitudinal sample of adolescents: examining use patterns from age 11 to 17 years

AIMS

We tested race/ethnic differences in alcohol and marijuana (AM) trajectories (comprising an intercept term, reflecting overall probability of use, and a slope term, reflecting change in probability of use) during adolescence, whether AM use trajectories predicted high school outcomes, and whether outcomes differed by race/ethnicity after controlling for trajectory of AM use.

DESIGN

This longitudinal study involved 6509 youth from 16 middle schools in Southern California surveyed from age 11.5 (2008) to age 17 (2015) years; all surveys assessed AM use, and the final survey also examined high school outcomes.

SETTING

Youth completed five surveys in middle school and two on-line surveys in high school.

PARTICIPANTS

The sample was 50% male and 80% non-white.

MEASUREMENTS

Intercept (at 2.75 years post-baseline) and slope of AM use were examined as outcomes for race/ethnic differences. AM use trajectories were examined as predictors of academic performance and unpreparedness, social functioning, mental and physical health and delinquency.

FINDINGS

We found differences in trajectories of use by race/ethnicity, with white youth reporting a higher overall intercept of alcohol use compared to all other groups (versus Asian P < 0.001, black P = 0.001, multi-ethnic P = 0.008). Overall, examination of trajectories of use showed that adolescents with a higher alcohol use intercept term reported greater academic unpreparedness (P < 0.001) and delinquency (P < 0.001) at wave 7 in high school. In addition, youth with a higher intercept for marijuana use reported greater academic unpreparedness (P < 0.001) and delinquency (P < 0.001), and poorer academic performance (P = 0.032) and mental health (P = 0.002) in high school. At wave 7, compared to white youth, Hispanic and multi-ethnic youth reported poorer academic performance (P < 0.001 and P = 0.034, respectively); Asian, black and Hispanic youth reported higher academic unpreparedness (P < 0.001, P = 0.019, and P = 0.001); and Asian youth and multi-ethnic youth reported poorer physical health (P = 0.012 and P = 0.018) controlling for AM use.

CONCLUSIONS

Greater AM use was associated with worse functioning in high school for all youth. After controlling for AM use, non-white youth reported worse outcomes in high school for academics and health.