Cannabis Hyperemesis Syndrome in Youth: Clinical Insights and Public Health Implications
Bibliographic record
Abstract
This review focuses on Cannabis Hyperemesis Syndrome (CHS) in youth, a condition linked to chronic cannabis use and characterized by cyclic vomiting, abdominal pain, and dehydration. The objectives were to explore CHS progression in youth and its impact on health, and to assess current treatment strategies. There are the three distinct phases of CHS: prodromal, hyperemetic, and recovery. During the prodromal phase, individuals experience early morning nausea and discomfort, often mistakenly alleviated by continued cannabis use. The hyperemetic phase is marked by severe vomiting, dehydration, and complications like electrolyte imbalances, leading to potentially serious health risks. Temporary relief may be experienced through hot showers or baths. In the recovery phase, symptoms gradually resolve, and normal eating and bathing habits return. The review emphasizes the physical and psychological impacts of CHS on youth, highlighting the potential for misdiagnosis and the importance of early intervention. It stresses the need for targeted educational efforts in schools, healthcare settings, and public health campaigns to prevent delayed diagnosis and improve outcomes. Findings underscore the importance of increasing healthcare provider awareness and promoting preventive education. The review also advocates for further research into CHS pathophysiology to improve diagnostic and treatment protocols for young populations.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".