Key Takeaways
- In 2022, 1.6% of high school students reported vaping “just THC” daily (National Youth Tobacco Survey, as summarized in Pediatrics)
- In 2022, 10.9% of high school students reported current alcohol use in the past 30 days (Monitoring the Future)
- In 2019, 27.5% of U.S. high school students reported using e-cigarettes in the past 30 days, compared with 14.1% in 2021 (CDC YRBS trend data)
- 1 in 6 (about 17%) teenagers meet criteria for a substance use disorder by age 18, according to a widely cited estimate summarized in a peer-reviewed review
- Teens with a substance use disorder had a median time from first use to onset of disorder of about 3 years, as summarized in a peer-reviewed review of adolescent SUD trajectories
- Peer-reviewed evidence links early initiation (before age 15) with substantially higher odds of later substance use disorder; one meta-analysis found early alcohol use was associated with increased risk (pooled estimate) for later alcohol use problems
- 1.9 million youth aged 12–17 had an alcohol use disorder (AUD) in 2023
- 2.4 million youth aged 12–17 had an illicit drug use disorder (DUD) in 2023
- 3.2 million youth aged 12–17 had a past-year mental health condition in 2023
- 43.4% of youth who used substances in the past year also reported meeting criteria for a substance use disorder in 2023
- In a U.S. study of SBIRT implementation, 74% of eligible adolescents received at least one SBIRT service component
- A meta-analysis found that family-based prevention programs reduced adolescent substance use with a pooled standardized mean difference of 0.20
- In 2021, there were 7,379 drug-related emergency department visits among youth aged 12–17 in New York State sentinel data
- In 2022, the rate of opioid overdose deaths for U.S. adolescents aged 15–19 was 0.4 per 100,000 population
- In 2023, poison control data showed 3.1% of adolescent exposures (13–19) involved e-cigarette/nicotine products
About 1 in 6 teens meet criteria for substance use disorder by age 18, with early use driving risk.
Trends And Changes
Trends And Changes Interpretation
Risk Factors
Risk Factors Interpretation
Prevalence Rates
Prevalence Rates Interpretation
Prevention Impact
Prevention Impact Interpretation
Health Consequences
Health Consequences Interpretation
Behavior & Context
Behavior & Context Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Christopher Morgan. (2026, February 13). Teen Substance Abuse Statistics. Gitnux. https://gitnux.org/teen-substance-abuse-statistics
Christopher Morgan. "Teen Substance Abuse Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/teen-substance-abuse-statistics.
Christopher Morgan. 2026. "Teen Substance Abuse Statistics." Gitnux. https://gitnux.org/teen-substance-abuse-statistics.
References
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- 2monitoringthefuture.org/data/22data.html
- 3cdc.gov/healthyyouth/data/yrbs/index.htm
- 4cdc.gov/mmwr/volumes/72/wr/mm7242a2.htm
- 10cdc.gov/mmwr/preview/mmwrhtml/rr5501a1.htm
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- 31samhsa.gov/data/sites/default/files/reports/rpt39422/2023NSDUH-Drug-Disorders.pdf
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- 39health.ny.gov/statistics/opioid/drug_overdose/docs/2021_sentinel_drug_use.pdf
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