Evidence map›Paper›PMID 40917596›Full record

ReviewDrug and alcohol dependence reports2025

Implementation of screening and assessment tools for diagnosing opioid use disorder: A systematic review.

Audrey Lopez, Audrey Sarah Cohen, Francine Vega, Tiffany Champagne-Langabeer

Abstract readReview
In one paragraph

Review in Drug and alcohol dependence reports, 2025. 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

4 authors.

Audrey LopezCenter for Behavioral Emergency and Addiction Research, McWilliams School of Biomedical Informatics, The University of Texas Health Sciences Center at Houston (UTHealth), Houston, TX, United States.
Audrey Sarah CohenCenter for Behavioral Emergency and Addiction Research, McWilliams School of Biomedical Informatics, The University of Texas Health Sciences Center at Houston (UTHealth), Houston, TX, United States.
Francine VegaCenter for Behavioral Emergency and Addiction Research, McWilliams School of Biomedical Informatics, The University of Texas Health Sciences Center at Houston (UTHealth), Houston, TX, United States.
Tiffany Champagne-LangabeerCenter for Behavioral Emergency and Addiction Research, McWilliams School of Biomedical Informatics, The University of Texas Health Sciences Center at Houston (UTHealth), Houston, TX, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: As the prevalence of opioid use disorder (OUD) continues to rise, early detection by medical professionals can often be the first step in linking individuals to treatment. This systematic review was designed to identify implemented OUD screening and assessment tools with studies published from January 2019 through June 2024, uncover common themes associated with implementation, and determine if these tools were recommended in clinical practice. Methods: A systematic literature search was conducted within PubMed, EMBASE, and Web of Science using the keywords 'opioid use disorder,' 'documentation,' and 'screening assessment tool.' Three investigators independently reviewed titles, abstracts, and full-text articles for inclusion and exclusion criteria and inclusion within the study. The Johns Hopkins Evidence-Based Practice model was used to appraise evidence level, quality, and common themes. Results: The initial literature search yielded 914 articles for review, with 19 remaining in the final selection. Of the 19 articles, 15 provided quantitative results of an implemented OUD screening or assessment tool, and 4 offered qualitative results about the value of implemented tools within a clinical practice. 15 of the articles recommended a screening or diagnostic assessment tool. Key themes included the insufficiency of a single assessment tool, inconsistent documentation of OUD diagnoses and symptoms, and variable tool completion. Conclusion: Diagnosing OUD is complex and dynamic. This review highlights the value of screening and assessment tools in identifying individuals and initiating opioid use-related care. Future research should explore implementing artificial intelligence and patient-centered care to assist with OUD screening and assessment.

Indexed as

DocumentationOpioid use disorderOUDProvider practicesScreening tools

Identifiers

PMID40917596
PMCPMC12410405

What OpenQuestion holds

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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.