Enhancing Integrated Treatment Programs for Severe Concurrent Substance Use and Mental Disorders: Insights on Overdose from the ROAR CANADA Project: Améliorer les programmes de traitement intégré pour les troubles mentaux et les troubles liés à l’usage de substances psychoactives graves et concomitants : aperçu de la problématique des surdoses dans le cadre du projet ROAR CANADA
Bibliographic record
Abstract
Objective This paper summarizes methods and initial overdose-related results from the Reducing Overdose and Relapse: Concurrent Attention to Neuropsychiatric Ailments and Drug Addiction (ROAR CANADA) project. ROAR CANADA is a longitudinal observational study of individuals with severe concurrent substance use and mental disorders (also called dual disorders or dual diagnosis). The study sampled patients treated at two tertiary treatment centres in British Columbia, Red Fish Healing Centre and Heartwood Centre, along with a concurrent treatment unit at St. Joseph's in Ontario. These facilities have implemented evidence-based integrated treatment programs. Our first analysis explores selected baseline characteristics as potential risk factors for drug overdose in this population. Method Sociodemographic factors, trauma history, and impulsivity were part of a more comprehensive longitudinal assessment. In this first investigation, we use bivariate analysis and logistic and linear regression modelling to examine these variables in relation to overdose history. Results Overall, 291 of 450 participants (64.7%) reported a history of ≥1 overdose. Across the three centres, patients had a lifetime average of 7.6 ( SD = 12.9) overdoses. The prevalence and mean number of overdoses were somewhat higher among Red Fish patients (74.5% and 8.5, respectively). Adverse childhood events, lifetime trauma history, and impulsivity were all high, but only lifetime trauma history emerged as significantly associated with overdose across all treatment centres. Impulsivity indicators were selectively associated with overdose by site, but not consistently within the overall sample. Conclusions These results highlight the importance of prioritizing trauma-informed care in the treatment of individuals with severe concurrent substance use and mental disorders, who are at high risk of overdose. The integration of trauma treatment into existing programs may enhance patient outcomes and contribute to the ongoing evolution of effective care strategies for this complex population. These findings are particularly relevant in light of the overdose crisis. Plain Language Summary Title Enhancing Integrated Treatment Programs for Severe Concurrent Substance Use and Mental Disorders: Insights on Overdose from the ROAR CANADA Project
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".