Evidence map›Paper›PMID 42377849›Full record

ArticlePrevention science : the official journal of the Society for Prevention Research2026

Reframing Substance Misuse Prevention: a RE-AIM Analysis of Federal Infrastructure and Future Directions.

Dane Minnick, Laura Curran, Khary K Rigg

Abstract read
In one paragraph

Article in Prevention science : the official journal of the Society for Prevention Research, 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

3 authors.

Dane MinnickEvelyn Duvall Chair of Family and Community Health, School of Social Work University of South Florida, Sarasota-Manatee Campus, Sarasota, FL, USA. dminnick@usf.edu.ORCID http://orcid.org/0000-0002-4334-0748
Laura CurranDepartment of Behavioral Health Sciences and Practice, University of South Florida, Sarasota-Manatee Campus, Sarasota, FL, USA.
Khary K RiggDepartment of Behavioral Health Sciences and Practice, University of South Florida, Tampa, FL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Substance misuse prevention is a significant component of public health policy in the USA. Currently, federal prevention efforts rely primarily on a coalition-based framework supported through four mechanisms: (1) the Substance Use Prevention, Treatment, and Recovery Block Grant, (2) the Drug-Free Communities Program, (3) the Partnerships for Success initiative, and (4) Community Anti-Drug Coalitions of America. Using the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework, this article critically analyzes the performance of this system and considers scalable alternatives. Findings indicate that while coalitions mobilize local stakeholders, the model is resource-intensive, inconsistently implemented, and limited in its capacity to achieve sustained, population-level impact. Proposed alternatives include integrating prevention science into professional education, mandating EBPP delivery in universal settings such as schools, embedding routine screening and early intervention, creating a national repository of free prevention programs, and expanding the use of digital applications and wearable technologies. Implications include restructuring federal funding priorities, embedding prevention within existing infrastructures, and advancing research on cost-effectiveness, sustainability, and equity.

Indexed as

Substance-Related DisordersHumansPublic Health InfrastructureUnited StatesDigital healthPolicyPreventionPublic health infrastructureSubstance misuse

Identifiers

PMID42377849
PMCPMC13433629

What OpenQuestion holds

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LicenceCC BY
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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.