Caring for youth with co-occurring substance use and severe psychiatric disorders: diagnostic challenges and clinical implications.
Bibliographic record
Abstract
Appropriate interventions for psychiatric conditions that commonly emerge during adolescence and early adulthood play a crucial role in modifying both acute risks as well as long-term outcomes. Substance use disorder is a common comorbidity during the early stages of mood and psychotic disorders that further heightens acute risks and is considered a negative prognostic factor. New presentations of mood and psychotic symptoms with co-occurring substance use are inherently challenging to formulate due to the uncertainty surrounding the relative impact of multiple intrinsic and extrinsic factors. Given such uncertainty, it is natural for clinicians to rely on heuristics to guide assessment and management. These heuristics however may bring about premature diagnostic closure by favouring the primacy of substance use, which in turn can result in a missed window of opportunity for a timely and appropriate intervention. We caution clinicians against over-attributing early symptoms of mood and psychotic disorders to substances use alone.
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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 | 0.003 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".