Should cannabis be used in the management of endometriosis?
Bibliographic record
Abstract
INTRODUCTION: Endometriosis is a chronic inflammatory condition that affects around 1 in 7 women of reproductive age. Current medical treatments tend to be sub-optimal to manage the range of symptoms, with low levels of patient satisfaction. Cross-sectional and retrospective data suggests that people with endometriosis are consuming cannabis to help manage their symptoms. AREAS COVERED: This review discusses the evidence for consumption of medicinal cannabis to help manage endometriosis symptoms, including potential mechanisms of action from both animal models and human studies, usage in the community, the current evidence from clinical trials and observational studies, and the safety and potential drug interactions. EXPERT OPINION: While there is a lack of high-quality clinical trial evidence, significant self-reported evidence from cross-sectional surveys and retrospective observational data suggests that those consuming medicinal cannabis report reductions in endometriosis symptoms such as pelvic pain, dysmenorrhea and gastrointestinal symptoms, and improve mental health and sleep. Given the low levels of satisfaction with current treatment options, consideration should be given to trialing medicinal cannabis as part of the interdisciplinary management of endometriosis in those who express interest and who do not demonstrate any significant contraindications.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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".