Discontinuing cannabis improves depression in people with multiple sclerosis: A short report
Bibliographic record
Abstract
To assess whether symptoms of depression change when people with multiple sclerosis (pwMS) discontinue cannabis use, 40 cognitively impaired pwMS who smoked cannabis almost daily were randomly assigned to either a cannabis continuation (CC) or cannabis withdrawal (CW) group. Both groups were followed for 28 days. All participants completed the Hospital Anxiety and Depression Scale. At day 28 the 11-nor-9-carboxy-Δ 9 -tetrahydro-cannabinol (THCCOOH)/creatinine ratio in the CW group declined to zero ( p = 0.0001), but remained unchanged in the CC group ( p = 0.709). Depression scores in those pwMS who were using cannabis to manage their depression remained statistically unchanged in the CC group, but declined in the CW group ( p = 0.006). Despite pwMS using cannabis to help their mood, depression improved significantly off the drug. Our finding provides a cautionary note in relation to cannabis use in pwMS, at least with respect to depression.
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How this classification was reachedexpand
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".