Proper counseling for diagnosis and management of cannabinoid hyperemesis syndrome: a case report
Bibliographic record
Abstract
BACKGROUND: Cannabinoid hyperemesis syndrome (CHS) is an increasingly recognized condition linked to chronic cannabis use, yet it remains frequently overlooked in clinical practice. The syndrome is characterized by cyclic episodes of severe nausea, vomiting, and abdominal pain, often relieved temporarily by hot showers or baths. With the rising prevalence of cannabis use following its legalization, the incidence of CHS has surged, presenting a significant challenge in both diagnosis and management within primary healthcare settings. Understanding the epidemiology, risk factors, and potential long-term sequelae of CHS is crucial for timely identification and intervention. This case report highlights the challenge of diagnosis and management of CHS in primary healthcare. OBJECTIVE(S): To emphasize the importance of proper counseling and the use of Rome IV criteria in diagnosing CHS. To illustrate how this may reduce patient suffering and unnecessary investigation. CASE: A 22-year-old female with chronic, daily cannabis use presented with recurrent episodes of intense nausea, vomiting, and abdominal pain over a 2-year period. Extensive diagnostic evaluations were inconclusive. A tentative diagnosis of CHS was made by a medical student and family doctor based on published criteria. The Rome IV criteria were then applied for confirmation of diagnosis and management. In so doing, the patient was advised to cease cannabis use for a minimum of 3 months. Initially, symptom improvement was reported with cannabis cessation. However, symptoms recurred following a relapse in cannabis use. CONCLUSION: To confirm the diagnosis of CHS, counseling should specify the need for a minimum of 3 months of cannabis cessation to achieve symptom relief. Increased physician and patient awareness of this minimal time period for drug cessation can help to avoid unnecessary investigations, and prolonged patient suffering. This case emphasizes the need for vigilance in recognizing CHS and consideration of cannabis as a potential cause of cyclic vomiting.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.006 | 0.004 |
| 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".