Perceived Effects of Marijuana Use By MS Patients in Saskatchewan—A Pilot Study
Bibliographic record
Abstract
Dissatisfaction with conventional treatments has led to increasing awareness of complementary therapies. To study the use and effects of marijuana in multiple sclerosis (MS), an anonymous questionnaire was sent to 250 randomly selected MS patients from Saskatchewan asking about course of the disease, symptoms, complementary therapy use, and details of past or present marijuana usage. Of the 168 respondents, 36% had smoked marijuana. The incidence of marijuana use for the symptoms of MS was 15%. (A total of 15% used marijuana as treatment for symptoms of MS.) Symptoms that improved included spasticity at sleep onset (58%), weight loss (58%), spasticity when walking (47%), depression (45%), spasms at night (43%), and muscle pain (41%). Statistical significance was not achieved because of the small number of respondents (25 of 168) who smoked marijuana. This small number of cannabis users provides some indication of potential symptomatic relief in MS. The effects of marijuana appear to modestly benefit symptoms of spasticity, pain, and depression. These data support the proposal for a controlled randomized trial to evaluate the beneficial effects of marijuana in MS. (Int J MS Care. 2003; 6: 139–147)
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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 | 0.000 | 0.002 |
| 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) | 0.000 | 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".