Evidence map›Paper›PMID 34165255›Full record

ArticleNeuropsychopharmacology reports2021

Pulverizing medication as a harm reduction and intentional drug overdose prevention strategy: Two case studies.

Keisuke Takanobu, Daisuke Okazaki, Shinya Watanabe, Nobuyuki Mitsui, Teruaki Tanaka

Open access · goldAbstract readCase Reports
In one paragraph

Article in Neuropsychopharmacology reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 37% of its field
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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

5 authors at 3 institutions in 1 country.

Keisuke TakanobuDepartment of Psychiatry, Hokkaido University Hospital, Hokkaido, Japan.ORCID 0000-0001-5044-9699
Daisuke OkazakiDirector of the Center, Hokkaido Mental Health and Welfare Center, Hokkaido, Japan.ORCID 0000-0003-3136-431X
Shinya WatanabeDepartment of Psychiatry, Hokkaido University Hospital, Hokkaido, Japan.ORCID 0000-0003-4044-1292
Nobuyuki MitsuiDepartment of Psychiatry, Hokkaido University Hospital, Hokkaido, Japan.ORCID 0000-0002-0788-7690
Teruaki TanakaDepartment of Psychiatry, KKR Sapporo Medical Center, Hokkaido, Japan.ORCID 0000-0003-2102-7838
Hokkaido University Hospital · JPHealth Sciences University of Hokkaido · JPNTT Medical Center · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsWe explored the use of pulverized medication as a new method to prevent intentional drug overdose.

methodsThis case study presents data obtained from the medical records of two female patients, aged 19 and 27 years, who presented with schizophrenia and neurodevelopmental disorder, respectively. Both patients provided written informed consent. Medication was administered to the two patients in powdered form, as opposed to in tablet form, in an attempt to prevent intentional drug overdose.

resultsThis administration method successfully prevented intentional drug overdose for 3 and 5 years in each case, respectively. However, case-control or prospective cohort studies are needed to rule out biases, including cognitive bias.

conclusionPulverizing medication is a simple and effective means of preventing intentional drug overdose by restricting access to the means of suicide, regardless of the type of mental disorder.

Indexed as

Drug OverdoseSuicideFemaleHarm ReductionHumansProspective StudiesSuicide, Attempteddrug overdoseharm reductionsuicidesuicide attemptedsuicide prevention

Identifiers

PMID34165255
PMCPMC8411305
OpenAlexW3176189071

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.