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Record W4412188650 · doi:10.1155/crpe/1045330

Accidental Methadone Toxicity in a 3‐Year‐Old Leading to Severe Cerebellitis and Death: A Case Report

2025· article· en· W4412188650 on OpenAlex
Jessie Pappin, Gregory Hansen, Tanya Holt

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCase Reports in Pediatrics · 2025
Typearticle
Languageen
FieldMedicine
TopicPoisoning and overdose treatments
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsMedicineMethadoneIngestionAccidentalAnesthesiaPopulationToxicityPediatricsIntensive care medicineInternal medicineEnvironmental health

Abstract

fetched live from OpenAlex

Methadone is a synthetic opioid used to treat pain and opioid dependence. Despite its benefits, accidental ingestion of methadone in pediatric patients can lead to significant morbidity and mortality. Documented findings of acute toxicity secondary to methadone ingestion in children include leukoencephalopathy and cerebellitis. There is limited research into treatment and factors influencing clinical outcomes following methadone overdose in children. We report a 3-year-old child with severe brain injury and death following accidental ingestion of methadone. Our case is unique in that we were able to acquire a serum methadone level following ingestion, which was used to guide intervention and treatments. Using this case, we aim to contribute to the growing understanding of methadone toxicity while also advocating for the implementation of policies that protect our pediatric population.

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.

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)0.002
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 score0.406
Threshold uncertainty score0.948

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
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 head0.019
GPT teacher head0.318
Teacher spread0.299 · 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