Cannabinoid Hyperemesis Syndrome Presenting With Recurrent Acute Renal Failure
Bibliographic record
Abstract
Cannabinoid hyperemesis syndrome is a recently recognized clinical syndrome characterized by chronic cannabis use, profound vomiting and compulsive bathing among other features. Despite the degree of vomiting associated with this disorder, renal impairment and electrolyte disturbances are not commonly reported findings. We report the case of a 36-year-old male with a history of chronic daily cannabis use, who presented to our hospital with acute renal impairment five times in 4 years, with nearly identical clinical picture in each presentation. His symptom complex in each admission consisted of severe nausea and vomiting, compulsive hot showers, and resolution of symptoms within days of abstaining from cannabis. His clinical course included significantly abnormal basic metabolic panels at the time of each admission, with return to normal baseline values 96 hours following hydration in every case. The other consistent findings on admission were hypochloremic, hyponatremic dehydration with mixed metabolic alkalosis and high anion gap metabolic acidosis. He also had proteinuria and microscopic hematuria.This case highlights a serious and potentially life-threatening complication of the disorder. The consistency of the findings suggests a pattern that is associated with this disorder. It is unclear whether the course of renal involvement is benign in the long term. doi: http://dx.doi.org/10.4021/jmc939w
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".