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Record W2806467208 · doi:10.1177/1925362118782076

Fatal Mitragynine-Associated Toxicity in Canada

2018· article· en· W2806467208 on OpenAlexfundaboutno aff
Carol Chunfeng Wang, Alfredo E. Walker

Bibliographic record

VenueAcademic Forensic Pathology · 2018
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicAlkaloids: synthesis and pharmacology
Canadian institutionsnot available
FundersUnited States Drug Enforcement AdministrationHealth Canada
KeywordsForensic pathologyToxicityMedicineMedical emergencyPathologyAutopsyInternal medicine

Abstract

fetched live from OpenAlex

Mitragynine is amongst the more than 40 natural indole alkaloids derived from the Mitragyna speciosa, or kratom tree, also referred to as ketum. The compound is unique in that it exhibits dose-dependent clinical outcomes with stimulant effects at lower doses but sedative effects at higher concentrations. It is indigenous to Southeast Asia, where the local population has had extensive experiences utilizing the substance for its medicinal as well as recreational effects. Mitragynine is advertised as an herbal remedy and is readily accessible via the Internet, resulting in its expansive distribution throughout the world. The addictive potential of this substance is quickly becoming recognized and mitragynine has been implicated in multidrug toxicity deaths. We present a case of the first reported mitragynine-associated fatality in Canada where an independently fatal mitragynine concentration was detected in the postmortem femoral venous blood and the source drug was likely obtained as a powder from Indonesia. Acad Forensic Pathol. 2018 8(2): 340-346

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.169
Threshold uncertainty score0.339

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0050.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.080
GPT teacher head0.389
Teacher spread0.309 · 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 source (direct Gemma or distilled Codex), 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

Citations26
Published2018
Admission routes2
Has abstractyes

Explore more

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