Evidence map›Paper›PMID 42185944›Full record

ReviewAddiction science & clinical practice2026

Recognising intoxication in healthcare: evidence, challenges, and implications.

Jessica Smith, Daniel T Winter, Gabriel A Verón, Erica Martin, Mark E Montebello, Lauren A Monds

Abstract readReview
In one paragraph

Review in Addiction science & clinical practice, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

6 authors.

Jessica SmithSpeciality of Addiction Medicine, Faculty of Medicine & Health, The University of Sydney, Sydney, Australia.
Daniel T WinterSpeciality of Addiction Medicine, Faculty of Medicine & Health, The University of Sydney, Sydney, Australia.
Gabriel A VerónSpeciality of Addiction Medicine, Faculty of Medicine & Health, The University of Sydney, Sydney, Australia.ORCID http://orcid.org/0000-0003-0894-9512
Erica MartinSpeciality of Addiction Medicine, Faculty of Medicine & Health, The University of Sydney, Sydney, Australia.
Mark E MontebelloSpeciality of Addiction Medicine, Faculty of Medicine & Health, The University of Sydney, Sydney, Australia.
Lauren A MondsSpeciality of Addiction Medicine, Faculty of Medicine & Health, The University of Sydney, Sydney, Australia. lauren.monds@sydney.edu.au.

Funding

Australian Research Council DP220103174
6 · The paper itself

Abstract

Intoxication is a common clinical presentation and is associated with increased risk of injury, self-harm, and premature mortality. It also complicates clinical care because patients who are intoxicated may provide unreliable histories, display altered pain perception, and exhibit behaviours that increase risk to themselves or others. Despite these challenges, research consistently shows that clinicians are often inaccurate in identifying intoxication or estimating its severity. This narrative review synthesises the literature on clinician recognition of alcohol and other drug intoxication to identify challenges that contribute to misclassification, and potential solutions to identifying intoxication in healthcare settings. Misclassification is most common at mild and moderate levels, where behavioural signs are subtle and easily masked by individual variability, tolerance, or co-occurring conditions. Severe intoxication is generally recognised more reliably, but this provides limited support for early risk detection or safe decision-making across the full clinical spectrum. Structured assessment tools have been developed to improve consistency, yet most show weak relationships with biological measures, have limited applicability across substance types, or have poor feasibility in routine practice. No widely adopted clinical tool exists, and accuracy does not consistently improve with professional experience or seniority. Evidence on the detection of non-alcohol substance intoxication in healthcare settings remains limited. Most available data comes from law enforcement contexts, where structured procedures and extensive training improve performance. These approaches do not translate easily to healthcare environments characterised by rapid patient turnover, competing demands, and limited capacity for lengthy assessments. Clinicians therefore continue to rely primarily on observational judgement, even though behavioural cues vary substantially and are prone to bias. This review integrates findings across alcohol and other drug classes, identifies common sources of perceptual and decision error, and outlines the implications of misclassification for patient safety, informed consent, diagnostic accuracy, and service utilisation. Improving recognition of intoxication will require investment in clinician training, development and validation of practical assessment tools, and targeted research examining accuracy across diverse clinical contexts. These steps are essential for safer and more consistent responses to intoxication in healthcare.

Indexed as

Alcoholic IntoxicationSubstance-Related DisordersHumansAlcohol and other drugsDiagnostic errorsIntoxicationSubstance-related disordersSubstance use

Identifiers

PMID42185944
PMCPMC13244985

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.