Complementary and Alternative Medicine in Psychotic Disorders
Bibliographic record
Abstract
The use of complementary and alternative medicine (CAM), including alternative therapies (ALT) and natural health products (NHP) such as vitamin and herbal supplements, is increasingly accepted in both the general population as well as in patients with mood and anxiety disorders. The level of acceptance and use of CAM, however, is unknown among patients being treated for psychotic disorders. Psychotic patients were surveyed about their use of and attitudes toward CAM. Questions included basic demographic and socio-economic items as well as the lifetime and 12-month use of CAM. Data were collected from June to October 2005. A sample of 172 participants representing 8.4% of the total eligible population of the outpatient clinics within the Schizophrenia Program at the Centre for Addiction and Mental Health in Toronto Canada completed the survey. Considering all forms of CAM, the lifetime and 12-month prevalence rate were 88% and 68%, respectively. The use and perceived safety of CAM by this population is similar to that reported by the general population. Clinical and public health implications of these findings are discussed.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".