Health harms of non-medical prescription opioid use: A systematic review

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.

Predictors of persistent opioid use in Australian primary care: A retrospective cohort study, 2018-2022

OBJECTIVE

To examine the predictors of persistent opioid use ('persistence') in people initiating opioids for non-cancer pain in Australian primary care.

DESIGN

A retrospective cohort study.

SETTING

Australian primary care.

SUBJECTS

People prescribed opioid analgesics between 2018-2022, identified through the Population Level Analysis and Reporting (POLAR) database.

METHODS

Persistence was defined as receiving opioid prescriptions for at least 90 days with a gap of less than 60 days between subsequent prescriptions. Multivariable logistic regression was used to examine the predictors of persistent opioid use.

RESULTS

The sample consisted of 343,023 people initiating opioids for non-cancer pain; of these, 16,527 (4.8%) developed persistent opioid use. Predictors of persistence included older age (≥75 vs 15-44 years: Adjusted odds ratio: 1.67, 95% CI: 1.58-1.78), concessional beneficiary status (1.78, 1.71-1.86), diagnosis of substance use disorder (1.44, 1.22-1.71) and chronic pain (2.05, 1.85-2.27), initiation of opioid therapy with buprenorphine (1.95, 1.73-2.20) and long-acting opioids (2.07, 1.90-2.25), provision of higher quantity of opioids prescribed at initiation (total OME of ≥ 750mg vs < 100mg: 7.75, 6.89-8.72), provision of repeat/refill opioid prescriptions at initiation (2.94, 2.77-3.12), and prescription of gabapentinoids (1.59, 1.50-1.68), benzodiazepines (1.43, 1.38-1.50) and z-drugs (e.g., zopiclone, zolpidem; 1.61, 1.46-1.78).

CONCLUSIONS

These findings add to the limited evidence of individual-level factors associated with persistent opioid use. Further research is needed to understand the clinical outcomes of persistent opioid use in people with these risk factors to support the safe and effective prescribing of opioids.

Associated factors to non-medical and medical use of psychoactive medication among Mexican adolescents and adults in a national household survey

BACKGROUND

Non-medical use of psychoactive medication is a public health problem. Studies in other contexts indicate that individual sociodemographic characteristics are associated with non-medical use, but these associations have not been assessed in the Mexican context.

OBJECTIVES

To estimate the prevalence non-medical and medical use of psychoactive medication among Mexican adolescents and adults' medication users and to estimate the associations between sociodemographic characteristics and non-medical use of psychoactive medication, using data from a nationally representative sample.

METHODS

Secondary analysis of data collected from the National Survey of Drug, Alcohol, and Tobacco Consumption (ENCODAT) 2016 to 2017. The analytical sample included people aged 12 to 65 years. The sample was stratified into two age categories: adolescents (12-17 years) and adults (18-65 years). Sub-analyses were performed to describe prevalence of use and non-medical use of psychoactive medication at the state-level. Descriptive statistics and multinomial logistic regression models were used to estimate associations between sociodemographic characteristics and medical, non-medical, and non-use of psychoactive medication in adolescents and adults.

RESULTS

Among Mexican medication users in 2016, the national prevalence of non-medical use of psychoactive drugs was 19.6%; 22.2% among adolescents and 19.4% among adults. States adjacent to the US-Mexico border reported the highest levels of non-medical use of psychoactive medication. Illicit drug consumption was associated with non-medical use. Sociodemographic characteristics associated with non-medical use varied between adolescents and adults.

CONCLUSIONS

There is a high proportion of non-medical use of psychoactive drugs among Mexican medication users, especially among young people. Understanding factors associated with the misuse of psychoactive medications in Mexico can inform policy for prevention and treatment.

Patterns of filled prescriptions and the association with risk of drug-induced death. A population-based nested case-control register study

PURPOSE

Opioid analgesics (OA) and other pharmaceuticals have been associated with drug-induced deaths. However, there is a lack of knowledge regarding patterns of use of these pharmaceuticals in the population and regarding such associations. We identify and describe subgroups of people with different patterns of filled prescriptions of OA and other relevant pharmaceuticals and examine associations with drug-induced deaths. In addition, we estimate the proportion of drug-induced deaths with a filled OA prescription and OA as cause of death.

METHODS

A Norwegian population-based nested case-control register study with cases (drug-induced deaths 2010-2018, N = 2388) and population controls matched for age, gender and year of inclusion (N = 21 465). Patterns of filled prescriptions for opioid analgesics (OA), benzodiazepines and benzodiazepine-related drugs, gabapentinoids, ADHD medication and antidepressants/antipsychotics were explored by k-means cluster analysis. Associations with drug-induced deaths were estimated by conditional logistic regression adjusted for sociodemographic characteristics. Overlap of filled OA prescriptions and OA as cause of death was estimated.

RESULTS

Five clusters were identified: 'few prescriptions', 'weak OA', 'ADHD medication', 'sedative/psychiatric morbidity' and 'strong OA'. The 'strong OA' cluster had higher socioeconomic status compared to the other groupings. The risk of drug-induced death was also highest in this cluster (OR = 35.5; CI 25.6-49.3) and, for 68% (CI 64-73) of cases, filled prescriptions for OA was indicated as the underlying cause of death.

CONCLUSIONS

The cluster analysis identified a subgroup with filled prescriptions of OA and other pharmaceuticals and a higher socioeconomic status than other subgroups. This subgroup had a high risk of drug-induced death that needs to be addressed.

Opioid Analgesics after Bariatric Surgery: A Scoping Review to Evaluate Physiological Risk Factors for Opioid-Related Harm

The persisting use of opioids following bariatric surgery has emerged as a prevalent complication, heightening the probability of opioid-related harm (ORM), such as opioid-related fatalities and prescription opioid use disorder (OUD). A comprehensive review of PubMed literature from 1990 to 2023 was conducted to pinpoint physiological influences on postoperative ORM. As a result, we found that patients undertaking bariatric operations often exhibit an inherently higher risk for substance use disorders, likely attributable to genetic predisposition and related neurobiological changes that engender obesity and addiction-like tendencies. Furthermore, chronic pain is a common post-bariatric surgery complaint, and the surgical type impacts opioid needs, with increased long-term opioid use after surgeries. Additionally, the subjective nature of pain perception in patients with obesity can distort pain reporting and the corresponding opioid prescription both before and after surgery. Furthermore, the postoperative alterations to the gastrointestinal structure can affect the microbiome and opioid absorption rates, resulting in fluctuating systemic exposure to orally ingested opioids. The prospect of ORM development post-bariatric surgery appears amplified due to a preexisting susceptibility to addictive habits, surgically induced pain, modified gut-brain interaction and pain management and the changed pharmacokinetics post-surgery. Further research is warranted to clarify these potential risk variables for ORM, specifically OUD, in the bariatric population.