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Record W4408294551 · doi:10.1213/xaa.0000000000001927

Multidisciplinary Approach to the Acute Care of Xylazine/ Fetty-Tranq-Induced Skin Ulcers: A Case Report

2025· article· en· W4408294551 on OpenAlexaboutno aff
C. Adam Coridan, Mikayla Borusiewicz, Isha Joshi, Lori Amertil, Donald Dissinger, Michelle Gniady, Bhavna Bali, Dennis J. Warfield

Bibliographic record

VenueA&A Practice · 2025
Typearticle
Languageen
FieldVeterinary
TopicVeterinary Pharmacology and Anesthesia
Canadian institutionsnot available
Fundersnot available
KeywordsXylazineTranquilizerMedicineHydromorphoneIntensive care medicineFentanylAnesthesiaMultidisciplinary approachAgonistPerioperativeHeroinOpioidPharmacologyDrugKetamineInternal medicine

Abstract

fetched live from OpenAlex

The illicit use of the alpha-2 agonist animal tranquilizer xylazine ("tranq"), generally combined with fentanyl or heroin, has become an emerging health threat across the United States and Canada. We introduce a case showing the benefit of multidisciplinary management of a patient who presented for surgical management of xylazine-induced skin ulcers. In the perioperative period, maintenance of full-agonist opioids and alpha-2 agonists minimized the patient's withdrawal symptoms. A robust multimodal strategy, including the use of regional anesthesia catheters, when possible, helped limit opioid use in this highly tolerant patient while transitioning to long-term substance use treatment.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.166
Threshold uncertainty score0.793

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.057
GPT teacher head0.405
Teacher spread0.348 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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