Evidence map›Paper›PMID 42834763›Full record

ArticleClinical pharmacology and therapeutics2026

Exclusion of Participants for Substance Use in Clinical Trials.

Willyanne DeCormier Plosky, Benjamin C Silverman, David H Strauss, Barbara E Bierer

Abstract read
In one paragraph

Article in Clinical pharmacology and therapeutics, 2026. 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.

Willyanne DeCormier PloskyMulti-Regional Clinical Trials Center of Brigham and Women's Hospital and Harvard, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0001-5641-2686
Benjamin C SilvermanHuman Research Affairs, Mass General Brigham, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0001-7781-7375
David H StraussMulti-Regional Clinical Trials Center of Brigham and Women's Hospital and Harvard, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0003-1983-3769
Barbara E BiererMulti-Regional Clinical Trials Center of Brigham and Women's Hospital and Harvard, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0001-6448-8170

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patterns of inclusion and exclusion of individuals who use illicit substances from clinical trials have not been well-studied. Given the widespread and increasing prevalence of drug use in the United States, this has significant implications for the generalizability of scientific findings and the validity of treatment recommendations for individuals with and without co-morbid substance use. Here, we analyzed study protocol eligibility and the rationale for excluding substance users using data from ClinicalTrials.gov. We found that 43% (110/254) of interventional and 7% (3/46) of observational study protocols excluded people who use substances. The description of substance use ranged widely across the study protocols, varying by the level of use, the time period of use, and the definition of which specific substances or substance categories were excluded. The majority (63%, 69/110) of studies that excluded substance use either did not offer any rationale for the exclusion or did not give a specific justification related to substance use. Additional guidance is needed to standardize the definitions and assessment of substance use applied to clinical trial eligibility determinations and to formalize the justification of inclusion and exclusion of substance use based on explicit scientific, clinical, ethical, and safety criteria.

Identifiers

PMID42834763
PMCPMC13639407

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.