Guidelines for Reasonable and Appropriate Care in the Emergency Department (GRACE‐4): Alcohol use disorder and cannabinoid hyperemesis syndrome management in the emergency department
Bibliographic record
Abstract
The fourth Society for Academic Emergency Medicine (SAEM) Guidelines for Reasonable and Appropriate Care in the Emergency Department (GRACE-4) is on the topic of the emergency department (ED) management of nonopioid use disorders and focuses on alcohol withdrawal syndrome (AWS), alcohol use disorder (AUD), and cannabinoid hyperemesis syndrome (CHS). The SAEM GRACE-4 Writing Team, composed of emergency physicians and experts in addiction medicine and patients with lived experience, applied the Grading of Recommendations Assessment Development and Evaluation (GRADE) approach to assess the certainty of evidence and strength of recommendations regarding six priority questions for adult ED patients with AWS, AUD, and CHS. The SAEM GRACE-4 Writing Team reached the following recommendations: (1) in adult ED patients (over the age of 18) with moderate to severe AWS who are being admitted to hospital, we suggest using phenobarbital in addition to benzodiazepines compared to using benzodiazepines alone [low to very low certainty of evidence]; (2) in adult ED patients (over the age of 18) with AUD who desire alcohol cessation, we suggest a prescription for one anticraving medication [very low certainty of evidence]; (2a) in adult ED patients (over the age of 18) with AUD, we suggest naltrexone (compared to no prescription) to prevent return to heavy drinking [low certainty of evidence]; (2b) in adult ED patients (over the age of 18) with AUD and contraindications to naltrexone, we suggest acamprosate (compared to no prescription) to prevent return to heavy drinking and/or to reduce heavy drinking [low certainty of evidence]; (2c) in adult ED patients (over the age of 18) with AUD, we suggest gabapentin (compared to no prescription) for the management of AUD to reduce heavy drinking days and improve alcohol withdrawal symptoms [very low certainty of evidence]; (3a) in adult ED patients (over the age of 18) presenting to the ED with CHS we suggest the use of haloperidol or droperidol (in addition to usual care/serotonin antagonists, e.g., ondansetron) to help with symptom management [very low certainty of evidence]; and (3b) in adult ED patients (over the age of 18) presenting to the ED with CHS, we also suggest offering the use of topical capsaicin (in addition to usual care/serotonin antagonists, e.g., ondansetron) to help with symptom management [very low certainty of evidence].
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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 | 0.054 | 0.234 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.011 |
| Bibliometrics | 0.008 | 0.005 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.007 | 0.008 |
| Research integrity | 0.015 | 0.014 |
| Insufficient payload (model declined to judge) | 0.009 | 0.008 |
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".