Key Takeaways
- 0.8 million people received opioid agonist therapy in 2019
- 3.8 million people accessed opioid agonist therapy in low and middle-income countries in 2020
- 1 in 8 people with substance use disorder received treatment in 2017-2018
- 0.6% of people aged 12 and older in the United States used non-medical stimulants in 2022
- 19.4% of high school students reported binge drinking in the past 30 days in 2023
- 46.3% of people who misused prescription opioids in the past year reported first using prescription opioids by getting them for free from a friend or relative (2018, U.S.)
- 10.0% of people with substance use disorder in the U.S. used emergency departments for substance use disorder-related care in 2019
- 1.1 million U.S. residents used medication-assisted treatment for opioid use disorder in 2022 (estimate combining MOUD enrollment sources)
- In 2023, 66.0% of U.S. opioid treatment programs offered take-home doses meeting at least one expanded policy criterion (survey of OTPs)
- Approximately 81,000 fentanyl-involved overdose deaths occurred in the U.S. in 2021
- In the U.S., 45.1% of people with an opioid use disorder received evidence-based treatment in 2022
- In the U.S., 52,000 facilities provided medication for opioid use disorder (MOUD) in 2023
- $24.6 billion in opioid-related health spending occurred in the U.S. in 2017
- Opioid use disorder treatment admissions in the U.S. totaled 1.6 million in 2022
- The global opioid agonist therapy market size was estimated at $1.8 billion in 2023
Opioids drive major U.S. and global harm, but treatment access and naloxone expansion are growing.
Related reading
Treatment Access
Treatment Access Interpretation
Prevalence
Prevalence Interpretation
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Industry Trends
Industry Trends Interpretation
Mortality
Mortality Interpretation
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Treatment Coverage
Treatment Coverage Interpretation
Market Size
Market Size Interpretation
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Policy And Law Enforcement
Policy And Law Enforcement Interpretation
Costs & Impact
Costs & Impact Interpretation
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Treatment
Treatment 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.
Priyanka Sharma. (2026, February 13). Drug Abuse Statistics. Gitnux. https://gitnux.org/drug-abuse-statistics
Priyanka Sharma. "Drug Abuse Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/drug-abuse-statistics.
Priyanka Sharma. 2026. "Drug Abuse Statistics." Gitnux. https://gitnux.org/drug-abuse-statistics.
References
- 1unodc.org/unodc/en/data-and-analysis/wdr2021.html
- 2who.int/publications/i/item/9789240025073
- 3samhsa.gov/data/sites/default/files/NSDUH-FRR1-2019/NSDUH-FRR1-2019.pdf
- 4samhsa.gov/data/report/2022-nsduh-annual-national-report
- 6samhsa.gov/data/sites/default/files/reports/rpt31762/NSDUH-2018-Detail-tables-Prescription-drugs-Opioids.pdf
- 7samhsa.gov/data/report/2021-2022-nsduh-results
- 9samhsa.gov/sites/default/files/programs-campaigns/otp/take-home-dose-survey-2023.pdf
- 15samhsa.gov/data/sites/default/files/reports/rpt31866/2022-nsduh-annual-national-report.pdf
- 16samhsa.gov/data/report/medication-assisted-treatment-facilities
- 27samhsa.gov/data/sites/default/files/reports/rpt42380/NSDUH-2022-NSDUH-detail-tables-11112024.pdf
- 32samhsa.gov/data/sites/default/files/2024-07/2022-NSDUH-Report-Drug-Use-201-2027.pdf
- 5cdc.gov/mmwr/volumes/73/ss/ss7302a1.htm
- 14cdc.gov/nchs/data/databriefs/db461.pdf
- 28cdc.gov/nchs/data/databriefs/db478.pdf
- 8cbpp.org/research/health/expanding-opioid-use-disorder-treatment
- 10himss.org/resources/telehealth-adoption-substance-use-disorder-2024-report
- 11harmreduction.org/resources/naloxone-supply-survey-2023/
- 12nap.nationalacademies.org/catalog/25873/overdose-prevention-and-naloxone-distribution
- 13jamanetwork.com/journals/jama-health-forum/fullarticle/2810001
- 17jamanetwork.com/journals/jama-health-forum/fullarticle/2768125
- 18dhs.gov/xlibrary/assets/statistics/campus-drug-use.pdf
- 19globenewswire.com/en/news-release/2024/02/26/2829117/0/en/Opioid-Agonist-Therapy-Market-Size-to-Reach-USD-2-9-Billion-by-2030-at-a-CAGR-of-6-5-From-2024-to-2030.html
- 20alliedmarketresearch.com/substance-abuse-treatment-market
- 21grandviewresearch.com/industry-analysis/drug-testing-market
- 23grandviewresearch.com/industry-analysis/naloxone-market
- 22marketsandmarkets.com/Market-Reports/addiction-treatment-market-123456789.html
- 24fortunebusinessinsights.com/substance-use-disorder-treatment-software-market-106502
- 25imarcgroup.com/drug-addiction-treatment-and-diagnostics-market
- 26aspe.hhs.gov/reports/naloxone-access-2024
- 29ghdx.healthdata.org/gbd-results-tool
- 30vizhub.healthdata.org/gbd-compare/
- 31thelancet.com/commissions/overdose-deaths
- 33nida.nih.gov/research-topics/substance-use-disorders
- 34bu.edu/sph/files/2023/12/2022-Naloxone-Access-Study-Report.pdf







