ArticleMMWR supplements2026
Urban-Rural and Demographic Differences in Substance Use Among High School Students - Youth Risk Behavior Survey, United States, 2025.
Article in MMWR supplements, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Overview and Methods for the Youth Risk Behavior Surveillance System - United States, 2025.MMWR supplements · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Adolescent substance use remains a critical public health concern. Understanding patterns of substance use might guide prevention strategies and identify populations in need of focused, tailored interventions. This report links nationally representative 2025 Youth Risk Behavior Survey data with school characteristics data to describe substance use behaviors and differences by demographic characteristics and among students in public schools for whom locale information was available, by urban-rural classification. Current (i.e., past 30-day) measures included prescription opioid misuse and use of cigarettes, cigars, smokeless tobacco, electronic vapor products, alcohol, and marijuana. Lifetime measures included prescription opioid misuse and use of electronic vapor products, marijuana, cocaine, inhalants, heroin, methamphetamines, ecstasy, hallucinogenic drugs, a composite of selected illicit drugs, and injection of an illegal drug. Differences by sex, race and ethnicity, grade, and school urban-rural classification were analyzed. Adjusted prevalence ratios were used to assess urban-rural differences after controlling for sex, race and ethnicity, and grade. The most commonly reported substance use behaviors were lifetime use of electronic vapor products (30.2%), followed by marijuana (25.5%) and current use of alcohol (20.3%) and electronic vapor products (16.0%). Substance use varied by sex and race and ethnicity, with differences observed in patterns across behaviors. Most observed grade-related differences reflected higher prevalence among students in higher grade levels. After adjustment, students in rural public schools had a higher prevalence of current smokeless tobacco and electronic vapor product use, as well as lifetime electronic vapor product use, than students in city and suburb or town public schools. In addition, students in rural public schools had a higher prevalence of current cigarette and cigar use than students in suburb or town public schools. These descriptive findings might guide comprehensive and multicomponent youth substance use prevention programs that engage schools, families, and communities, including tobacco and nicotine prevention strategies tailored to rural schools and communities.
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