Evidence map›Paper›PMID 41665960›Full record

ArticleAmerican Indian and Alaska native mental health research (Online)2026

Assessing American Indian Traditional Ceremonial Practices and Substance Use Behaviors in an Urban, Multi-Tribal Setting: Results from a Community Survey.

Damian M Chase-Begay, Julie Cahoon, Jeffrey C Peterson, Annie Belcourt, Curtis Noonan, Blakely Brown

Abstract read
In one paragraph

Article in American Indian and Alaska native mental health research (Online), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

6 authors.

Damian M Chase-Begay
Julie Cahoon
Jeffrey C Peterson
Annie Belcourt
Curtis Noonan
Blakely Brown

Funding

Tracking and Evaluation CoreU54GM115371 · NIGMS · MONTANA STATE UNIVERSITY - BOZEMAN · PI THOMAS, TIMOTHY K · 2016 to 2020
$20.9M
Reducing opioid misuse among urban Indigenous young adults in Montana using a culturally centered interventionK01DA061078 · NIDA · UNIVERSITY OF MONTANA · PI Damian M Chase-Begay · 2024 to 2026
$499k
NIDA NIH HHS K01 DA061078NIGMS NIH HHS U54 GM115371
6 · The paper itself

Abstract

American Indian and Alaska Native (AI/AN) communities have relied on traditional ceremonial practices (TCPs) for survival and resilience for generations. Research examining the role of TCPs on wellness in urban, multi-tribal communities, however, has only recently emerged over the last several decades. This study explored the association between TCP-related variables and substance use in an urban AI/AN community in Montana. Specifically, participant knowledge, attitudes, and beliefs (KAB) regarding TCPs, their level of intent to participate in TCPs, and past year substance use were measured. This cross-sectional study used survey data from 194 AI/AN adults (66% female, 5% nonbinary; M age = 44). Positive KAB toward TCPs was found in 56.4% of respondents. Greater level of intent to participate in TCPs was found in 36.7% of respondents. Multivariate logistic regression showed individuals with positive KAB were less likely to report past year alcohol [adjusted odds ratio (AOR): 0.49; 95% confidence interval (95% CI): 0.26, 0.93] or other drug use (AOR: 0.30; 95% CI: 0.11, 0.76). Individuals who reported a greater level of intent to participate in TCPs were also less likely to report past year alcohol (AOR: 0.51; 95% CI: 0.26, 0.98) or other drug use (AOR: 0.31; 95% CI: 0.08, 0.91). The findings highlight a need for further examination of the potential effectiveness of substance use interventions for urban AI/AN adults that incorporate TCP-related factors.

Indexed as

Ceremonial BehaviorHealth Knowledge, Attitudes, PracticeSubstance-Related DisordersUrban PopulationAdultAmerican Indian or Alaska NativeCross-Sectional StudiesFemaleHumansMaleMiddle AgedMontana

Identifiers

PMID41665960
PMCPMC13003768

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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.