Evidence map›Paper›PMID 40895374›Full record

ArticlePCN reports : psychiatry and clinical neurosciences2025

Dependence, abuse, and psychosocial characteristics of patients transported to the emergency department due to overdose of over-the-counter drugs.

Saeko Kohara, Michiko Takai, Ryoko Kyan, Kenji Yamamoto, Hidehito Miyazaki, Masafumi Yoshimura, Yoshito Kamijo

Abstract read
In one paragraph

Article in PCN reports : psychiatry and clinical neurosciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Saeko KoharaDepartment of Clinical Toxicology Saitama Medical University Hospital.ORCID https://orcid.org/0000-0001-5924-979X
Michiko TakaiDepartment of Clinical Toxicology Saitama Medical University Hospital.
Ryoko KyanDepartment of Clinical Toxicology Saitama Medical University Hospital.
Kenji YamamotoDepartment of Psychiatry Tokai University School of Medicine.
Hidehito MiyazakiDepartment of Psychiatry Yokohama City University School of Medicine.
Masafumi YoshimuraDepartment of Occupational Therapy, Faculty of Rehabilitation Kansai Medical University.ORCID https://orcid.org/0000-0003-4846-5037
Yoshito KamijoDepartment of Clinical Toxicology Saitama Medical University Hospital.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: This study examined the conditions of drug abuse and dependence as well as the psychosocial characteristics of patients transported to an emergency department for over-the-counter (OTC) drug overdose. Methods: Participants were patients who presented to the emergency department due to an overdose of OTC drugs. Patients were evaluated using the Drug Abuse Screening Test-20 (DAST-20), Mini International Neuropsychiatric Interview (MINI), and an original questionnaire. Results: The study included 52 patients from four emergency medical facilities (20 males and 32 females) with a mean age of 23.6 years (standard deviation = 10.1). The DAST-20 indicated that 17 patients (32.7%) experienced moderate or severe drug abuse. The average score for suicide risk on the MINI was 23.7 (median: 27). The severity of OTC drug abuse and dependence significantly correlated with drug overdose history ( Conclusion: It is crucial to investigate patient experiences with OTC drug abuse and their motivations and backgrounds for overdosing. Support for abuse and dependence should be provided in the early stages of treatment.

Indexed as

drug abusedrug dependenceemergency wardover‐the‐counter drugsyouth

Identifiers

PMID40895374
PMCPMC12397076

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Registered trials

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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.