The Impact of Perioperative Cannabis Use: A Narrative Scoping Review
Bibliographic record
Abstract
As countries progressively embrace the legalization of both medicinal and recreational cannabis, there remains a significant knowledge gap when it comes to the perioperative uses of cannabis, as well as the management of cannabis users. This review summarizes the information available on the subject based on existing published studies. Articles outlining the physiological changes occurring in the human body during acute and chronic use of cannabis (outside the context of anesthesia) are also taken into consideration as understanding these changes allows a more calculated approach to better anticipate patients' needs in the perioperative setting. Common questions facing the anesthesiologist at each phase of the perioperative period will be addressed and a systematic approach to the effect of cannabinoids on various organ systems will also be presented. Issues unique to cannabis use such as cannabis withdrawal syndrome and alterations in post-operative pain processing will also be discussed. To date, the number of studies available for guidance is small and study designs are markedly heterogenous, if not limited, making conclusions challenging. While the currently available information can assist in making decisions, further studies of larger scale are eagerly anticipated to help guide future patient care.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| 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 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".