Evidence map›Paper›PMID 42694914›Full record

ArticlePCN reports : psychiatry and clinical neurosciences2026

Demographic characteristics and psychosocial backgrounds of patients with dextromethorphan overdose in Japan: A multicenter prospective observational study.

Hironori Katsuki, Yoshito Kamijo, Michiko Takai, Saeko Kohara, Hidetada Fukushima, Yuta Mizuno, Hidenobu Ochiai, Norio Otani, Dai Taguchi, Takuya Shimane and 1 more

Abstract read
In one paragraph

Article in PCN reports : psychiatry and clinical neurosciences, 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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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Hironori KatsukiDepartment of Clinical Toxicology Saitama Medical University Hospital Iruma-gun Saitama Japan.ORCID https://orcid.org/0009-0007-1112-4315
Yoshito KamijoDepartment of Clinical Toxicology Saitama Medical University Hospital Iruma-gun Saitama Japan.
Michiko TakaiDepartment of Clinical Toxicology Saitama Medical University Hospital Iruma-gun Saitama Japan.
Saeko KoharaDepartment of Critical Care Medicine and Trauma National Hospital Organization Disaster Medical Center Tokyo Tachikawa Japan.ORCID https://orcid.org/0000-0001-5924-979X
Hidetada FukushimaDepartment of Emergency and Critical Care Medicine Nara Medical University Kashihara Nara Japan.
Yuta MizunoDepartment of Emergency and Critical Care Medicine Maebashi Red Cross Hospital Maebashi Gunma Japan.
Hidenobu OchiaiDepartment of Emergency, Critical Care, and Disaster Medicine University of Miyazaki Hospital Miyazaki Miyazaki Japan.
Norio OtaniDepartment of Emergency and Critical Care Medicine St. Luke's International Hospital Tokyo Japan.
Dai TaguchiDepartment of Emergency Medicine Kin-ikyo Chuo Hospital Sapporo Japan.
Takuya ShimaneDepartment of Drug Dependence Research National Institute of Mental Health, National Center of Neurology and Psychiatry Kodaira Japan.ORCID https://orcid.org/0000-0001-8906-6230
Ryoko KyanDepartment of Clinical Toxicology Saitama Medical University Hospital Iruma-gun Saitama Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: Few studies in Japan have described young patients presenting to emergency departments after dextromethorphan overdose in detail. Therefore, we aimed to investigate the demographic characteristics and psychosocial backgrounds of patients who presented to emergency departments in Japan after dextromethorphan overdose. Methods: This was a multicenter, prospective, observational study with nonconsecutive enrollment. A standardized questionnaire regarding dextromethorphan overdose and the Drug Abuse Screening Test-20 (DAST-20) were administered in eight emergency departments in Japan. Continuous variables are presented as medians and interquartile ranges. Results: In total, 78 patients were included. The median age was 20 years (17.0-22.0), and 64 patients (82.1%) were female. Fifty-six (71.8%) patients engaged in social activities. Fifty-one patients (65.4%) stated that the purpose of the overdose was suicide/self-harm. The number of patients who reported that the source of information on dextromethorphan overdose was social networking services and internet searches was 27 (35.1%) and 29 (37.7%), respectively. Fifty-eight patients (74.4%) reported that dextromethorphan was purchased from a retail store. Among 66 respondents, 40 (60.6%) had moderate or higher DAST-20 scores. On comparing the younger group aged 10-19 years ( Conclusion: Dextromethorphan overdose predominantly involved young women, and drug-related problems were common.

Indexed as

adolescentdextromethorphandrug overdoseinternetyoung adult

Identifiers

PMID42694914
PMCPMC13540268

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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.