Educational attainment and prescription drug misuse: The importance of push and pull factors for dropping out.

PURPOSE: Young adults who do not complete high school are at increased risk for substance use and offending behavior. A limitation of this research is that dropouts are often treated as a homogeneous group, which ignores the various push (e.g., academic failure or disciplinary problems) and pull (e.g., family responsibility or economic need) factors for leaving school. METHODS: The current study relies on multiple years of data from the National Survey on Drug Use and Health (2009-2014) and examines several dependent variables, including prevalence of prescription drug misuse, frequent prescription drug misuse, and prescription drug-related substance use disorder symptoms. We assess the importance of push and pull factors for dropping out, and compare dropouts to respondents who completed school. RESULTS: Multivariable logistic regression analyses produce two important findings. First, push factors increase the risk of various types of prescription drug misuse compared to pull factors. Additionally, respondents who attend college are at a decreased risk for various types of prescription opioid and sedative/tranquilizer misuse and disorder. DISCUSSION: The current research identifies important differences in prescription drug misuse and disorders among dropouts based on the reason they left school. Additionally, college attendance appears to be a strong protective factor.

Friends and relatives as sources of prescription opioids for misuse among young adults: The significance of physician source and race/ethnic differences.

Background: Given the public health issues associated with prescription opioid misuse, there is surprisingly little research on sources of prescription opioids for misuse. We know that free from friends/relatives is the most common source, that source is associated with patterns of misuse, and that sources vary based on the sociodemographic characteristics. The current research assesses how friends/relatives obtain the prescription opioids they freely share with others. Methods: Data were from the 2009-2014 National Survey on Drug Use and Health and focused on respondents aged 18 to 25 (N = 106,845), as they report the highest prevalence of opioid misuse and are also more likely to obtain prescription opioids free from friends/relatives. Analyses used weighted cross-tabulations and design-based logistic regression to examine the relationships between sources of prescription opioids shared by friends/relatives and sociodemographic characteristics, substance use disorders, and risk behavior. Results: The most common source was from one physician (68.8%), and 18.4% of respondents reported multiple sources of opioids. We also found significant differences in friend/relative sources based on school enrollment, sex, and race/ethnicity of the person obtaining the opioids. Notably, white respondents were more likely to report theft/fake prescription, purchases, and multiple sources. Finally, friend/relative sources were significantly associated with substance use disorders and other risk behaviors. Conclusions: The current research assesses the sharing of prescription opioids between friends/relatives, highlights physicians as a major source, and identifies whites as a vulnerable group. Policy implications associated with the sharing of prescription opioids among friends/relatives are discussed.

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.

Sports involvement, injury history, and non-medical use of prescription opioids among college students: An analysis with a national sample.

BACKGROUND AND OBJECTIVES: The United States is in the midst of a prescription drug epidemic, particularly related to opioids. To more effectively deal with the devastating outcomes associated with non-medical use of prescription opioids (NUPO), research is needed to identify populations at increased risk. The current research builds on a small number of studies that have shown that adolescents involved in competitive sports are more likely to report NUPO. Specifically, we examine the relationship between athlete status, injury history, and NUPO among college students. METHODS: Using data from the National College Health Assessment (NCHA II from 2008 to 2011), we estimated several logistic regression models to examine the individual, and combined, effects of sex, athlete status, and injury history on NUPO. RESULTS: In the NCHA II 8.3% of students reported NUPO, 8.0% identified as a varsity athlete, and 17.4% reported an injury. Looking at factors individually, having an injury, being a varsity athlete, and being male were all significantly associated with NUPO. By combining these factors together we were able to determine that male athletes, athletes with injuries, and male athletes with injuries were at the greatest risk for NUPO, after controlling for relevant covariates. DISCUSSION AND CONCLUSIONS: To create effective prevention and intervention programs that target the health and wellness of college students, it is important to understand which groups of students are most likely to report NUPO. SCIENTIFIC SIGNIFICANCE: This study advances our understanding of the relationship between sports involvement and NUPO. (Am J Addict 2018;27:15-22).

Non-Medical Use of Prescription Stimulants: A Comparison of College Students and their Same-Age Peers Who Do Not Attend College.

Data show that the prevalence of non-medical use of prescription stimulants is higher among college students than their same-age peers who do not attend college. Because of this, most of the research in this area focuses on data from samples of college students and on use motivated by academic demands. There is little research that examines whether attending college increases the odds of non-medical use of prescription stimulants while including important covariates in the analytical models. The current research addresses this gap in the literature using data from the 2013 National Survey on Drug Use and Health for respondents aged 18 to 25 years old. We estimate a multivariate logistic regression model to determine whether college attendance increased the odds of non-medical use of prescription stimulants. The analysis showed that young adults who enrolled in college full-time were more likely to report non-medical use of prescription stimulants than their same-age peers who did not attend college. There was no significant difference between part-time college students and non-college students. Future research should focus on how specific aspects of the college environment, other than academic stress, may increase the risk of non-medical use of prescription stimulants.