The associations of poor psychiatric well-being among incarcerated men with injecting drug use histories in Victoria, Australia

Psychiatric well-being among men leaving prison reporting a history of injecting drug use: A longitudinal analysis

BACKGROUND

Community reintegration from prison is typically stressful, with several health and social outcomes impacting psychiatric well-being during this time, often exacerbated among individuals with histories of drug use. Longitudinal data was used to assess change in psychiatric well-being over 2 years following release from prison among men who reported a recent history of injecting drug use.

METHODS

Data for this study come from the Prison and Transition Health cohort study of 400 men recruited in prison prior to release and followed up over three time points. Psychiatric well-being was assessed using the 12-item General Health Questionnaire. We calculated change in individual General Health Questionnaire scores between interviews and identified covariates associated with General Health Questionnaire score using linear mixed-effects regression.

RESULTS

Data from 690 follow-up interviews among 326 participants were included in analyses. There was considerable variation in individuals' General Health Questionnaire scores. Moving accommodation frequently and frequent illicit drug injections were associated with an increase in General Health Questionnaire score (i.e. decline in psychiatric well-being). Two or more prior adult imprisonment episodes, social supports and past month primary healthcare attendance were associated with a decrease in General Health Questionnaire score.

CONCLUSION

Our findings identify health, social and structural influences on psychiatric well-being after release from prison that can inform re-entry programmes to support community reintegration.

Testing an evidence-based drug abuse and violence preventive approach adapted for youth in juvenile justice diversionary settings

BACKGROUND

Universal school-based prevention programs for alcohol, tobacco, and other drug use are typically designed for all students within a particular school setting. However, it is unclear whether such broad-based programs are effective for youth at risk for substance use and violence in juvenile justice settings.

METHOD

The present study tested the feasibility, appropriateness, and efficacy of a preventive intervention to reduce risk factors for substance use and delinquency among youth in juvenile justice diversionary settings by promoting positive youth development and building personal strengths and prosocial relationships. Participants in the study (N = 288) were predominantly male (69%) and in the 9th grade (14 years old) or higher (91%), received the preventive intervention, and completed confidential questionnaires at the pre-test and post-test.

RESULTS

The majority of youth who participated in the intervention rated the program topics (77.9%) and activities (72%) as appropriate for their age, would recommend it to their peers (73.6%), and would use the skills learned in the future (85.4%). Comparison of post-test adjusted means revealed that the prevention program had a significant positive impact on key knowledge, attitudes, and skills including goal-setting, stress-management, and communication skills.

CONCLUSIONS

The findings indicate that an evidence-based prevention approach adapted for youth diversionary settings can be effectively implemented and well-received by participating youth, and can produce positive changes in psychosocial skills and protective factors known to prevent multiple risk behaviors among youth. Future efforts to implement substance use prevention in community juvenile justice settings may benefit from highlighting a positive youth development, skills-based approach.

Two-year prevalence rates of mental health and substance use disorder diagnoses among repeat arrestees

BACKGROUND

Individuals with mental illness and co-occurring substance use disorders often rapidly cycle through the justice system with multiple arrests. Therefore, is it imperative to examine the prevalence of mental health and substance use diagnoses among arrestees and repeat arrestees to identify opportunities for intervention.

METHODS

We linked police arrest and clinical care data at the individual level to conduct a retrospective cohort study of all individuals arrested in 2016 in Indianapolis, Indiana. We classified arrestees into three levels: 1 arrest, 2 arrests, or 3 or more arrests. We included data on clinical diagnoses between January 1, 2014 and December 31, 2015 and classified mental health diagnoses and substance use disorder (SUD) based on DSM categories using ICD9/10 diagnoses codes.

RESULTS

Of those arrested in 2016, 18,236 (79.5%) were arrested once, 3167 (13.8%) were arrested twice, and 1536 (6.7%) were arrested three or more times. In the 2 years before the arrest, nearly one-third (31.3%) of arrestees had a mental health diagnosis, and over a quarter (27.7%) of arrestees had an SUD diagnosis. Most of those with a mental health or SUD diagnosis had both (22.5% of all arrestees). Arrestees with multiple mental health (OR 2.68, 95% CI 2.23, 3.23), SUD diagnoses (OR 1.59, 95% CI 1.38, 1,82), or co-occurring conditions (1.72, 95% CI 1.48, 2.01) in the preceding 2 years had higher odds of repeat arrest.

CONCLUSIONS

Our findings show that linked clinical and criminal justice data systems identify individuals at risk of repeat arrest and inform opportunities for interventions aimed at low-level offenders with behavioral health needs.

Comorbidity Patterns Among Patients With Opioid Use Disorder and Problem Gambling: ADHD Status Predicts Class Membership

Objective: Psychiatric comorbidities are highly prevalent among individuals affected by substance use disorders and those with non-substance-related addictive disorders such as gambling disorder. More recently, the frequent co-occurrence of substance use disorders and attention-deficit hyperactivity disorder (ADHD) has received particular attention. The aim of our study was to identify patterns of psychiatric comorbidity and to examine associations between patient group and ADHD status with class membership. Methods: Participants were patients with opioid use disorder enrolled in opioid maintenance treatment (OMT), either recruited from the community (n = 142; M age = 35.8 years; 38.7% female) or prison (n = 133; M age = 35.7 years; 21.8% female), and patients undergoing treatment for problem gambling (PrG; n = 80; M age = 43.1 years; 20% female). To enable direct comparisons, the following instruments were applied: Mini International Neuropsychiatric Interview, Adult ADHD self-report scale, Wender Utah Rating Scale, and European Addiction Severity Index. We used a latent class analysis (LCA) to identify psychiatric comorbidity patterns and a multinomial logistic regression to examine associations between patient group, ADHD status, age, and gender with class membership. Results: The LCA resulted in a three-class solution: (1) a class of individuals with a relatively low probability of current psychiatric comorbidities, except for a high probability of substance use disorders; (2) a class with markedly increased probabilities of current and recurrent psychiatric comorbidities, especially for major depression; and (3) a class with very low probabilities of psychiatric comorbidities, except for moderate probabilities of substance use disorders and antisocial personality disorder. Both OMT patients recruited from the community and those in prison were less likely than PrG patients to be assigned to the most burdened class with respect to psychiatric comorbidity (class 2). Further, both individuals with ADHD in childhood and those with adult ADHD were more likely members of class 2. Conclusions: PrG patients seem to be at an even higher risk for psychiatric comorbidities compared to OMT patients. Raising awareness among practitioners for the high prevalence of psychiatric comorbidities among patients with gambling disorder and individuals with ADHD is crucial to initiate adequate treatment and to improve response.