Evidence map›Paper›PMID 40943922›Full record

ReviewJournal of clinical medicine2025

A Narrative Review on Toxidromes in the Psychiatric Population: Implications for Overdose Prevention.

Sanjukta Dutta, Adela Georgiana Buciuc, Patrick Barry, Vanessa Padilla

Abstract readReview
In one paragraph

Review in Journal of clinical medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Risk Factors Associated with Deterioration in Sedative Drug Overdose.Journal of medical toxicology : official journal of the American College of Medical Toxicology · 2026
    Article
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.

Sanjukta DuttaMiller School of Medicine, University of Miami, Miami, FL 33136, USA.
Adela Georgiana BuciucJackson Health System, University of Miami, Miami, FL 33136, USA.
Patrick BarryJackson Health System, University of Miami, Miami, FL 33136, USA.
Vanessa PadillaMiller School of Medicine, University of Miami, Miami, FL 33136, USA.ORCID 0000-0001-8557-5548

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Individuals with severe mental illness face a substantially higher risk of suicide compared with the general population, with drug overdose representing one of the most common and potentially lethal methods. This narrative review explores toxidromes frequently encountered in psychiatric populations, such as opioid, anticholinergic, and serotonergic toxicity, highlighting the clinical presentation in intentional overdose. Emphasis is placed on clinical recognition, antidote-based treatment, and systems-level strategies for the prevention of lethal overdose. We conducted a comprehensive literature search of PubMed, Google Scholar, and Web of Science for English-language articles using combinations of the following keywords: mental disorders; persons with psychiatric disorders; drug overdose; poisoning; serotonin syndrome; neuroleptic malignant syndrome; anticholinergic agents/poisoning; cholinergic antagonists/poisoning; psychotropic drugs/adverse effects; substance-related disorders; drug-related side effects and adverse reactions; polypharmacy; suicide, attempted; emergency service, hospital. By embedding toxidrome awareness into routine emergency and psychiatric practice, we aim to expedite treatment and improve patient outcomes.

Indexed as

anticholinergic poisoningdrug overdosemental illnessneuroleptic malignant syndromepoisoningpsychiatrypsychotropic drugspublic healthserotonin syndromesuicide

Identifiers

PMID40943922
PMCPMC12429776

What OpenQuestion holds

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Registered trials

None linked

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.