Medical Cannabis Induced Acute Pancreatitis and Hyperemesis Syndrome in a Patient with Complex Regional Pain Syndrome
Bibliographic record
Abstract
Introduction: Medical cannabis is being utilized for intractable pain that is not well managed through conventional means. There are reports of cannabis induced hyperemesis syndrome and acute pancreatitis amongst recreational users inhaling cannabis, but not amongst medical users consuming cannabis orally. Patient Case: A 33-year old male with complex regional pain syndrome initiated 1 g of medical cannabis per day consisting of CBD (25 mg/mL) and tetrahydrocannabinol (<2 mg/mL). He transitioned to a balanced 50:50 CBD to THC product 12.5 mg/mL of each every six hours. He achieved good pain and anxiety relief but developed gastrointestinal cramping, bloating, intermittent nausea and vomiting which he managed with homeopathic remedies. He added THC only at bedtime and symptoms exacerbated over 3 months. He experienced worsening abdominal pain, nausea, projectile vomiting and weight loss. He was found to have epigastric and right and left upper quadrant abdominal tenderness as well as elevated lipase >300. Abdominal ultrasound and CT abdomen with contrast were negative. Serial lipase levels rose to >800. He stopped all cannabis products. Oral Haldol 0.5mg QID was initiated for hyperemesis after ondansetron failure. After 1 week CBD dominant oil was reintroduced at 1ml (25mg) QID for CRPS with no worsening of GI symptoms. After 2.5 weeks off THC hyperemesis dramatically improved, weight loss stabilized and lipase returned to baseline. Conclusion: Chronic oral administration of medical cannabis containing tetrahydrocannabinol resulted in acute pancreatitis and hyperemesis similar to individuals inhaling recreational cannabis. Patients and healthcare providers should be counselled on the rare but serious complications of medical cannabis induced pancreatitis.
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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 | 0.002 |
| 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 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".