A Systematic Review on Cannabis Hyperemesis Syndrome and Its Management Options
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
INTRODUCTION: Several forms of cannabinoids are currently being used to manage nausea and vomiting (N/V). Emerging cases of refractory N/V associated with chronic cannabis use among adults and older patients have been reported named cannabis hyperemesis syndrome (CHS). CHS is a condition that leads to repeated and severe N/V in long-term users of cannabinoids. OBJECTIVE: The aim of this study was to outline current treatments for the management of CHS. METHODS: A systematic review was conducted using PubMed, Ovid MEDLINE, Cochrane Central, EMBASE, and Google Scholar. Databases were used to search for articles on CHS published from January 2009 to June 2021, yielding 225 results of which 17 were deemed relevant and underwent review by 2 separate reviewers. RESULTS: The duration of cannabis administration ranged between 6 months to 11 years may precipitate symptoms of CHS. The Rome IV diagnostic criteria of CHS require cannabinoid use and persistence of N/V symptoms for at least the past 6 months. Cannabis cessation is noted to be the most successful management, but other treatments also demonstrated symptom relief; these include hot water hydrotherapy, topical capsaicin cream, haloperidol, droperidol, benzodiazepines, propranolol, and aprepitant administration. CONCLUSION: More research on CHS is needed to enhance knowledge translation, education, and create awareness in the medical community on the side effects of cannabinoids and to propose the best treatment options.
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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 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it