Evidence map›Paper›PMID 40750946›Full record

ArticleForensic toxicology2026

Evaluation of various internal standards for quantification of dextromethorphan and diphenhydramine in plasma: a fatal overdose case of a mid-teenager caused by personally imported and over-the-counter medicines.

Yujin Natori, Hayato Miura, Takashi Yoshimoto, Akira Ishii

Abstract readCase Reports
In one paragraph

Article in Forensic toxicology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Yujin NatoriDepartment of Forensic Medicine and Bioethics, Nagoya University Graduate School of Medicine, 65 Tshrumai-cho, Showa-ku, Nagoya, Japan. y-natori@med.nagoya-u.ac.jp.
Hayato MiuraDepartment of Forensic Medicine and Bioethics, Nagoya University Graduate School of Medicine, 65 Tshrumai-cho, Showa-ku, Nagoya, Japan.
Takashi YoshimotoDepartment of Forensic Medicine and Bioethics, Nagoya University Graduate School of Medicine, 65 Tshrumai-cho, Showa-ku, Nagoya, Japan.
Akira IshiiDepartment of Forensic Medicine and Bioethics, Nagoya University Graduate School of Medicine, 65 Tshrumai-cho, Showa-ku, Nagoya, Japan.

Funding

Japan Society for the Promotion of Science JP 18H03064
6 · The paper itself

Abstract

purposeOver-the-counter medicines are commonly used for recreational and suicidal overdoses, a global problem. Some of these are easily obtained via the Internet. In cases of intoxication, drug quantification is necessary to estimate the cause of death. Stable isotope compounds are recommended as internal standards (IS) for analyzing drugs; however, it is difficult for individual laboratories to obtain isotopes for all analytes due to cost and availability. Therefore, alternative IS selection is important for practicality. Here, we quantified diphenhydramine and dextromethorphan concentrations in plasma from several collection sites in a fatal intoxication case, and assessed various IS performance based on structural similarities and retention time.

methodsA mid-teenager died from intoxication of personally imported dextromethorphan and Over-the-counter diphenhydramine. To quantify these drugs, we selected morphine-d

resultsRecovery rates were 80.7-105.5%, except for morphine-d

conclusionsThe concentrations of both drugs in plasma samples were estimated to cause death. When using an alternative IS, a validation study is needed to select the optimal IS.

Indexed as

Antitussive AgentsDextromethorphanDiphenhydramineHistamine H1 AntagonistsNonprescription DrugsAdolescentDrug OverdoseForensic ToxicologyHumansMaleReference StandardsAntitussive AgentsDextromethorphanDiphenhydramineHistamine H1 AntagonistsNonprescription DrugsDextromethorphanDiphenhydramineInternal standardsLC/MS/MSLiquid chromatography-tandem mass spectrometryOverdose

Identifiers

PMID40750946
PMCPMC12858462

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.