Predictors of Safe Prescription Opioid Storage and Participation in Drug Take-Back Events: Results from a Statewide Survey.

Improper storage and disposal of prescribed opioids can lead to diversion or accidental poisonings. Studies of emergency department and cancer patients suggest prescription opioids are rarely stored securely or disposed of when unneeded. Safe storage and disposal practices reduce risks for others living in or visiting a household. The purpose of this study is thus to examine prescription opioid storage and participation in drug take-back events among Michigan adults. Participants (N = 702) were recruited through social media advertisements to complete an online survey in July and August 2018. Logistic regression was used to examine correlates of safe storage and disposal. 8.4% (n = 59) of participants reported always keeping opioids locked; 29.8% (n = 209) reported attending a drug take-back event. Black participants and those who believed that illegal drug use was a serious problem had greater odds of locking opioids; participants with higher levels of education or who knew someone who used heroin or misused prescription opioids had lesser odds of locking opioids. Age and race were associated with take-back event participation. Findings identify factors associated with safe prescription opioid storage/disposal and indicate safe storage/disposal seldom occurs. Education and provision of safe storage equipment should be designed for diverse ages, races/ethnicities, and levels of education. Drug take-back events not hosted by law enforcement may have broader appeal, as may those led by Black or other people of color. Wider use of drug donation boxes may facilitate increased disposal among those who do not wish to or cannot attend take-back events.

Buprenorphine Treatment Intake and Critical Encounters following a Nonfatal Opioid Overdose.

BACKGROUND: Individuals with prior opioid-related overdose events have an increased risk for opioid-related mortality. Buprenorphine is a partial agonist that has shown to be an effective medication for opioid use disorder (MOUD). Yet, few studies have investigated whether buprenorphine reduces the risk of opioid-related mortality following a nonfatal opioid-related overdose. METHODS: A retrospective study was conducted on all overdose cases in Indiana between January 1, 2017 and December 31, 2017. Data were linked from multiple administrative sources. Cases were linked to vital records to assess mortality. Bivariate analyses were conducted to assess group differences between survivors and decedents. A series of multiple logistic regression models were used to determine main and interaction effects of opioid-related mortality. RESULTS: Among the 10,195 nonfatal overdoses, 2.4% (247) resulted in a subsequent fatal overdose. Overdose decedents were on average 36.4 years-old, 66.8% male, 91.1% White, and 83.8% did not receive a buprenorphine dispensation. Incremental increases in the number of buprenorphine dispensations decreased the likelihood of fatal overdose by 94% (95% CI = 0.88-0.98, p = .001). Incremental increases in arrest encounters were found to significantly increase the likelihood of a fatal overdose (AOR = 2.16; 95% CI = 1.13-3.55). Arrest encounters were a significant moderator of the relationship between buprenorphine uptake effectiveness and drug-related mortality. CONCLUSIONS: Analysis of linked data provided details of risk and protective factors of fatal overdose. Buprenorphine reduced the risk of death; however, criminal justice involvement remains an area of attention for diversion and overdose death prevention interventions.

Discriminant Function Analyses: Classifying Drugs/Violence Victimization Typologies Among Incarcerated Rural Women.

This study examined the relationship between drug use and violence victimization among incarcerated women in Appalachian Kentucky. The purpose of this study was to test the utility of Goldstein's tripartite conceptual framework among rural incarcerated women, by examining whether distinct drugs/violence nexus groups could be classified based on psychopharmacological, economic-compulsive, and systemic factors. This study used secondary data from a National Institute on Drug Abuse (NIDA)-funded grant focused on risk reduction among high-risk incarcerated women in Appalachia (N = 400). Predicted drugs/violence groups were developed using a series of discriminant function analyses. The data yielded three statistically significant discriminant models. Findings of the classified groupings indicated support for three distinct drugs/violence victimization subgroups. The psychopharmacological group showed the greatest prevalence (n = 181; Wilks's λ = .389, F = 3.94, p < .001), followed by the economic-compulsive group (n = 77; Wilks's λ = .584, F = 11.86, p < .001) and systemic group (n = 55) significant (Wilks's λ = .994, F = 2.247, p < .035). To date, this is the first study to report a relationship between systemic violence victimization among rural communities. These findings could offer novel considerations for theory development and implications for clinical practice regarding the drug-related risks for violence victimization among rural incarcerated women.

Factors of Recidivism among Individuals with Co-occurring Conditions in Rural Mental Health Jail Interventions.

Estimates indicate that nearly half of rural jail detainees meet the criteria for co-occurring disorders (COD). It is critical to examine factors of recidivism among detainees with COD in rural communities. This exploratory study aimed to examine factors of recidivism among adults in rural jails. Administrative data sources were utilized to assess postyear recidivism among 191 individuals with COD who participated in a jail-based intervention. Results indicated that a greater number of previous jail bookings and not receiving continuity of care were the strongest associations of overall recidivism, and a greater number of previous jail bookings was associated with of multiple recidivism events. The protective effect of receiving continuity of care was diminished in reducing recidivism 4- to 12-months following jail release. Re-entry services should consider developing or further expand specialized psychiatric care parole and connections to evidence-based integrated dual diagnosis treatment with a focus on programs with adaptability for rurality.

Leveraging crowdsourcing methods to collect qualitative data in addiction science: Narratives of non-medical prescription opioid, heroin, and fentanyl use.

BACKGROUND: Online crowdsourcing methods have proved useful for studies of diverse designs in the behavioral and addiction sciences. The remote and online setting of crowdsourcing research may provide easier access to unique participant populations and improved comfort for these participants in sharing sensitive health or behavioral information. To date, few studies have evaluated the use of qualitative research methods on crowdsourcing platforms and even fewer have evaluated the quality of data gathered. The purpose of the present analysis was to document the feasibility and validity of using crowdsourcing techniques for collecting qualitative data among people who use drugs. METHODS: Participants (N = 60) with a history of non-medical prescription opioid use with transition to heroin or fentanyl use were recruited using Amazon Mechanical Turk (mTurk). A battery of qualitative questions was included indexing beliefs and behaviors surrounding opioid use, transition pathways to heroin and/or fentanyl use, and drug-related contacts with structural institutions (e.g., health care, criminal justice). RESULTS: Qualitative data recruitment was feasible as evidenced by the rapid sampling of a relatively large number of participants from diverse geographic regions. Computerized text analysis indicated high ratings of authenticity for the provided narratives. These authenticity percentiles were higher than the average of general normative writing samples as well as than those collected in experimental settings. CONCLUSIONS: These findings support the feasibility and quality of qualitative data collected in online settings, broadly, and crowdsourced settings, specifically. Future work among people who use drugs may leverage crowdsourcing methods and the access to hard-to-sample populations to complement existing studies in the human laboratory and clinic as well as those using other digital technology methods.

A mixed-methods approach to understanding overdose risk-management strategies among a nationwide convenience sample.

BACKGROUND: This mixed-methods study compared drug use histories between individuals who had a reported non-fatal overdose to individuals who did not and described the overdose risk-management strategies as they were experienced by a sample of people who use drugs (PWUD). Shifts from non-medical prescription opioid use (NMPOU) to the use of heroin and synthetic opioids have been implicated in national increases in overdose incidences in the United States. However, relatively limited data exists regarding the narrative experiences of the evolving overdose risk management strategies among a nationwide sample of PWUD. METHODS: Data recruitment was conducted via Amazon's mTurk crowdsourcing technology and was collected through semi-structured interviews that occurred in 2019. Participants (N = 60) with a history of NMPOU with transition to heroin or fentanyl use were recruited. RESULTS: Participants reporting a previous non-fatal overdose were more likely to report a history of injection drug use, a history of heroin injection, greater overdose risk knowledge, and current medication for opioid use disorder (MOUD) use. Qualitative analysis revealed that participants attempted to mitigate overdose risk in primarily three ways: 1) self-regulation; 2) harm reduction; and 3) passive approach. Self-regulatory measures included administering small or incremental dosing, being mindful of personal tolerance limits, and avoiding the initiation of injection drug use. Harm reduction measures used to protect from overdose included carrying Narcan and relying on trusted drug-suppliers as references to drug purity. A passive approach indicated that participants relied on "luck" or divine support systems where religiosity and faith were endorsed as factors that mitigated personal overdose risk. CONCLUSION: Participants reported successful overdose mitigation via self-regulation, which may suggest that PWUDs were capable at managing their drug use amid the overdose crisis. The importance of the drug-supplier relationship was critical to many in reducing their overdose risk as formal harm reduction services (e.g., safe injection sites) remain inaccessible in the U.S. Implications for drug policy and harm reduction interventions are discussed.

Opioid analgesics and heroin: Examining drug misuse trends among a sample of drug treatment clients in Kentucky.

BACKGROUND: In an effort to mitigate Kentucky's prescription drug misuse, legislative intervention efforts were introduced in 2012 and 2013 to better regulate pain clinics, prescribed use of opioid analgesics, and to expand the monitoring of opioid prescriptions. The focus of this paper is primarily on opioid analgesics and heroin and the relationship of use/misuse patterns of these drugs to state drug policy initiatives. METHODS: A secondary data analysis of drug treatment clients (N=52,360) was conducted to project illicit drug use trends in Kentucky. This study describes temporal and geographic trends of self-reported illicit drug use among individuals in state-funded treatment in Kentucky between fiscal year 2010 and fiscal year 2013. RESULTS: Significant reductions in the prevalence of illicit opioid use, declined from fiscal year 2010 to fiscal year 2013 (p<.01, CI=-.298 to -.215). However, heroin use rates significantly increased over the years studied, suggesting there may be a transition from prescription opioids to heroin (p<.01, CI=.143 to .178). The analysis suggests these trends may continue. CONCLUSIONS: Findings suggest Kentucky's legislative efforts were effective in reducing illicit prescription opioid use, but heroin use has increased. One possible explanation for this relationship is that as prescription opioids became more difficult to obtain, users turned to heroin as a substitute. The finding of rising heroin use suggests a need for further policy initiatives to reduce heroin use, but the potential effectiveness of this policy remains unclear. Understanding trends may help to guide future policy efforts and pain management treatment strategies to where they might have their greatest impact.