Diagnostic Subgroups within a Sample of Comorbid Substance Abusers: Correlates and Characteristics
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Patients seeking treatment at the Addiction Research Foundation for a substance problem but who also reported psychiatric symptomatology were referred to the Mental Health Unit. Following a clinical psychiatric interview, these patients were categorized into one of six diagnostic subgroups based on the presence of DSM-III-R psychiatric disorders: mood, anxiety, psychotic, organic, Axis-II, and adjustment. A control group of patients referred to the Mental Health Unit but not diagnosed with a psychiatric disorder was also included. These groups were compared on several demographic, substance use, and psychiatric variables. Patients assigned a diagnosis of organic (substance-induced) and Axis II disorders were found to have more severe substance use histories, alcohol-related consequences and longer treatment histories. Patients with a diagnosis of adjustment disorder appeared to be functioning relatively better. Implications of studying the heterogeneity of comorbidity are discussed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it