Evidence map›Paper›PMID 29771745›Full record

ReviewCurrent opinion in psychiatry2018

National Institute on Drug Abuse International Program: improving opioid use disorder treatment through international research training.

Steven W Gust, Judy McCormally

Abstract readReview
In one paragraph

Review in Current opinion in psychiatry, 2018. 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

2 authors.

Steven W GustU.S. Department of Health and Human Services, National Institutes of Health, National Institute on Drug Abuse International Program, Bethesda.
Judy McCormallyConsultant, IQ Solutions, Inc., Rockville, Maryland, USA.

Funding

Intramural NIH HHS Z99 DA999999
6 · The paper itself

Abstract

purpose of reviewFor more than 25 years, the National Institute on Drug Abuse (NIDA) has supported research-training programs, establishing a global research network and expanding the knowledge base on substance use disorders. International research to inform approaches to opioid addiction is particularly important and relevant to the United States, where opioid misuse, addiction, and overdose constitute an emerging public health crisis. This article summarizes the NIDA International Program and illustrates its impact by reviewing recent articles about treatment approaches for opioid use disorders (OUD). RECENT

findingsStudies in several countries have demonstrated the effectiveness of physician office-based opioid substitution therapies. Other research has demonstrated the effectiveness of different formulations and doses of the opioid antagonist naltrexone, as well as different approaches to providing naloxone to treat opioid overdose. Continuing research into implementation of evidence-based treatment in international settings with limited resources is applicable to US regions that face similar structural, legal, and fiscal constraints. SUMMARY: The current review describes international research on OUD treatment and opioid overdose, most coauthored by former NIDA fellows. The findings from outside the United States have important implications for best practices domestically and in other countries that are experiencing increases in OUD prevalence and related overdose deaths.

Indexed as

Analgesics, OpioidGlobal HealthSubstance-Related DisordersEvidence-Based PracticeHumansInternational CooperationNational Institute on Drug Abuse (U.S.)ResearchUnited StatesAnalgesics, Opioid

Identifiers

PMID29771745
PMCPMC6050030

What OpenQuestion holds

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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.