Literature Collection

Objectives: Physical health conditions cause significant disability and mortality among people living with alcohol and other drug problems. There has been limited research on the prevalence of health problems among clinical samples of people with substance use disorders, particularly among those in residential treatment. Yet residential settings provide unique opportunity for responding to health needs. To better understand the health of people attending treatment for substance use disorders, this study conducted a file review to examine the prevalence of physical health problems as identified during routine residential care. Methods: A retrospective review of client files collected between 2013 and 2017 (N = 172) was completed at a residential treatment service in NSW, Australia. Data were extracted to examine the prevalence of physical health problems recorded at entry into treatment. Correlates of health problems were estimated using bivariate descriptive analyses and logistic regression. Results: The majority of clients in treatment for substance use had a comorbid physical health problem (80.7%). Musculoskeletal problems were the most frequently reported medical issue (38.6%). Odds for some physical health problems were related to client gender, age, and primary substance of concern. Male gender remained the strongest predictor of dental health problems when controlling for age and substance type (odds ratio [OR] = 3.60). Primary alcohol use remained the strongest predictor of nutritional deficiencies when controlling for client age (OR = 4.43). Among clients with a physical health problem and who had a treatment episode of at least 14 days (n = 110), just over half (55.5%) were referred to a health-related practitioner or service during their treatment episode. Conclusions: This study contributes to the literature by reporting on the incidence of physical health problems among people in residential treatment for substance use disorders. The high prevalence of physical health morbidity iterates the role of non-medical staff working within drug and alcohol services in the identification of client health needs. The findings support calls for systematic screening of physical health as part of routine care for substance use disorders improved integration of substance treatment and the broader primary health care system.

BACKGROUND: There is high co-occurrence of substance use disorders (SUD) and mental health disorders. We aimed to assess impact of substance use patterns and sociodemographic factors on mental health distress using the ten-item Hopkins Symptom Checklist (SCL-10) over time. METHODS: Nested prospective cohort study of 707 participants with severe SUD across nine opioid-agonist-therapy outpatient clinics and low-threshold municipality clinics in Norway, during 2017-2020. Descriptive statistics were derived at baseline and reported by means and standard deviation (SD). A linear mixed model analysis was used to assess the impact of substance use patterns and sociodemographic factors on SCL-10 sum score with beta coefficients with 95% confidence intervals (CI). RESULTS: Mean (SD) SCL-10 score was 2.2 (0.8) at baseline with large variations across patients. We observed more symptoms of mental health disorders among people with frequent use of benzodiazepines (beta 3.6, CI:2.4;4.8), cannabis (1.3, CI:0.2;2.5), opioids (2.7, CI:1.1;4.2), and less symptoms among people using frequent stimulant use (- 2.7, CI:-4.1;-1.4) compared to no or less frequent use. Females (1.8, CI:0.7;3.0) and participants with debt worries (2.2, CI:1.1;3.3) and unstable living conditions (1.7, CI:0.0;3.3) had also higher burden of mental health symptoms. There were large individual variations in SCL-10 score from baseline to follow-up, but no consistent time trends indicating change over time for the whole group. 65% of the cohort had a mean score > 1.85, the standard reference score. CONCLUSIONS: People with SUD have a considerable burden of mental health symptoms. We found no association between substance use patterns and change in mental health symptoms over time. This could suggest that the differences observed were indicating flattening of effects or self-medication to a larger degree than medication-related decline in mental health. This call for better individualized mental health assessment and patient care.