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Record W4412121766 · doi:10.1093/jat/bkaf064

Fatalities following DMT use: two case reports and a review of the literature

2025· review· en· W4412121766 on OpenAlexaff
Jade Pullen, Robert J. Moore, Edmund Rab, Lewis Couchman, Caroline S. Copeland

Bibliographic record

VenueJournal of Analytical Toxicology · 2025
Typereview
Languageen
FieldMedicine
TopicCardiac pacing and defibrillation studies
Canadian institutionsBritish Columbia Centre on Substance Use
FundersKing's College London
KeywordsMedicine

Abstract

fetched live from OpenAlex

N, N-Dimethyltryptamine (DMT) is a hallucinogen found in the South American Psychotria viridis plant and is the major psychoactive ingredient in the brew ayahuasca. In this report, we performed a review of the surrounding literature and detail two deaths which recently occurred in the UK following DMT use. A literature search of both academic (PubMed, GoogleScholar) and media (using Google search engine) publications was performed to identify previously reported fatalities following DMT use. The National Programme on Substance Use Mortality (NPSUM) was also searched for deaths which have occurred in the UK following DMT use. Literature search-There have been three previous reports of fatalities following DMT use, all deemed accidental in nature, with DMT consumption taking place as part of an ayahuasca ceremony in two of these cases. NPSUM cases-Two cases were identified (Case Report 1 [CR1] & Case Report 2 [CR2]), neither of which occurred in the context of an ayahuasca ceremony. DMT was detected and quantified in femoral blood in both cases (CR1 0.23 mg/l; CR2 0.24 mg/l). There was evidence of polydrug use in both cases (CR1 n = 6; CR2 n = 9), which in each case included additional compounds which can increase serotonergic drive (CR1 cocaine, amphetamine; CR2 venlafaxine, mirtazapine). There have been two recent deaths following DMT use in the UK, both in the context of polydrug use which may have caused death due to excessive serotonergic innervation leading to serotonin syndrome. Polydrug use is increasingly common in the UK, and users of unregulated drugs should caution their use in combination with other unregulated drugs and also any prescribed medications.

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)0.001
metaresearch head score (Gemma)0.005
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: Review · Consensus signal: Review
Teacher disagreement score0.007
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0070.006
Science and technology studies0.0020.002
Scholarly communication0.0020.003
Open science0.0020.002
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0030.002

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 head0.055
GPT teacher head0.417
Teacher spread0.361 · 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
GenreReview

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

Citations1
Published2025
Admission routes1
Has abstractyes

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