Evidence map›Paper›PMID 37991829›Full record

ArticleJMIR formative research2023

Internet-Based Inquiries From Users With the Intention to Overdose With Over-the-Counter Drugs: Qualitative Analysis of Yahoo! Chiebukuro.

Azusa Kariya, Hiroshi Okada, Shota Suzuki, Satoshi Dote, Yoshitaka Nishikawa, Kazuo Araki, Yoshimitsu Takahashi, Takeo Nakayama

Abstract read
In one paragraph

Article in JMIR formative research, 2023. 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. Review
  2. Review
  3. 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

8 authors.

Azusa KariyaDepartment of Health Informatics, Graduate School of Medicine & School of Public Health, Kyoto University, Kyoto, Japan.ORCID https://orcid.org/0000-0002-1995-9663
Hiroshi OkadaDepartment of Health Informatics, Graduate School of Medicine & School of Public Health, Kyoto University, Kyoto, Japan.ORCID https://orcid.org/0000-0001-5208-9383
Shota SuzukiDepartment of Health Informatics, Graduate School of Medicine & School of Public Health, Kyoto University, Kyoto, Japan.ORCID https://orcid.org/0000-0003-3199-5883
Satoshi DoteDepartment of Pharmacy, Kyoto-Katsura Hospital, Kyoto, Japan.ORCID https://orcid.org/0000-0002-7161-7935
Yoshitaka NishikawaDepartment of Health Informatics, Graduate School of Medicine & School of Public Health, Kyoto University, Kyoto, Japan.ORCID https://orcid.org/0000-0003-3313-1990
Kazuo ArakiDepartment of Health Informatics, Graduate School of Medicine & School of Public Health, Kyoto University, Kyoto, Japan.ORCID https://orcid.org/0000-0002-1899-7369
Yoshimitsu TakahashiDepartment of Health Informatics, Graduate School of Medicine & School of Public Health, Kyoto University, Kyoto, Japan.ORCID https://orcid.org/0000-0003-4073-9945
Takeo NakayamaDepartment of Health Informatics, Graduate School of Medicine & School of Public Health, Kyoto University, Kyoto, Japan.ORCID https://orcid.org/0000-0002-7918-6252

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPublic concern with regard to over-the-counter (OTC) drug abuse is growing rapidly across countries. OTC drug abuse has serious effects on the mind and body, such as poisoning symptoms, and often requires specialized treatments. In contrast, there is concern about people who potentially abuse OTC drugs whose symptoms are not serious enough to consult medical institutions or drug addiction rehabilitation centers yet are at high risk of becoming drug dependent in the future.

objectiveConsumer-generated media (CGM), which allows users to disseminate information, is being used by people who abuse (and those who are trying to abuse) OTC drugs to obtain information about OTC drug abuse. This study aims to analyze the content of CGM to explore the questions of people who potentially abuse OTC drugs.

methodsThe subject of this research was Yahoo! Chiebukuro, the largest question and answer website in Japan. A search was performed using the names of drugs commonly used in OTC drug abuse and the keywords overdose and OD, and the number of questions posted on the content of OTC drug abuse was counted. Furthermore, a thematic analysis was conducted by extracting text data on the most abused antitussive and expectorant drug, BRON.

resultsThe number of questions about the content of overdose medications containing the keyword BRON has increased sharply as compared with other product names. Furthermore, 467 items of question data that met the eligibility criteria were obtained from 528 items of text data on BRON; 26 codes, 6 categories, and 3 themes were generated from the 578 questions contained in these items. Questions were asked about the effects they would gain from abusing OTC drugs and the information they needed to obtain the effects they sought, as well as about the effects of abuse on their bodies. Moreover, there were questions on how to stop abusing and what is needed when seeking help from a health care provider if they become dependent. It has become clear that people who abuse OTC drugs have difficulty in consulting face-to-face with others, and CGM is used as a means to obtain the necessary information anonymously.

conclusionsOn CGM, people who abused or tried to abuse OTC drugs were asking questions about their abuse expectations and anxieties. In addition, when they became dependent, they sought advice to quit their abuse. CGM was used to exchange information about OTC drug abuse, and many questions on anxieties and hesitations were posted. This study suggests that it is necessary to produce and disseminate information on OTC drug abuse, considering the situation of those who abuse or are willing to abuse OTC drugs. Support from pharmacies and drugstores would also be essential to reduce opportunities for OTC drug abuse.

Indexed as

abuseCGMconsumer-generated mediaOTC drugoverdoseover-the-counter drugQ and A sitequestion and answer site

Identifiers

PMID37991829
PMCPMC10701648

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.