Key Takeaways
- 86% of people who use drugs do not receive drug treatment (estimated gap between prevalence and treatment coverage).
- 12.4 million people globally used amphetamine-type stimulants in 2023 (estimated users of ATS in the past year).
- In 2023, 1.0 million young people (aged 12–17) in the United States received mental health treatment and/or substance use treatment (subset estimate from NHSDUH reporting).
- In the United States, 1.4 million people received medication for opioid use disorder in 2023 (treatment utilization estimate).
- In 2019, 76% of primary drug use in the United States was cannabis among past-year users (composition by primary drug reported).
- In 2022, the estimated societal cost of drug overdoses in the United States was $1.5 trillion (cost estimate including health care, productivity, and other burden).
- In 2021, substance use disorders cost the United States an estimated $442 billion (economic burden estimate).
- 14.0 million people aged 12+ in the United States used illicit drugs in 2022
- 4.3% of the global adult population used drugs at least once in 2021
- In 2021, 1.1% of adults in Australia used opioids in the past 12 months
- In 2023, 1.4 million people received medication for opioid use disorder in the United States
- In 2022, 41,000 facilities globally provided opioid agonist therapy (estimate)
- In 2023, 1.0 million people received opioid agonist therapy in the United States
- In the United States, 12% of high school seniors reported nonmedical use of prescription opioids in 2023 (lifetime estimate)
- In the United States, 81,806 people died from drug overdoses in 2023
Most people who use drugs lack treatment, while opioid harm remains huge and costs the US trillions.
Related reading
Global Prevalence
Global Prevalence Interpretation
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Treatment & Coverage
Treatment & Coverage Interpretation
Cost & Economic Burden
Cost & Economic Burden Interpretation
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Prevalence
Prevalence Interpretation
Treatment & Care
Treatment & Care Interpretation
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Supply, Law & Enforcement
Supply, Law & Enforcement Interpretation
Overdose & Harm
Overdose & Harm Interpretation
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Drug Markets
Drug Markets 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.
Alexander Schmidt. (2026, February 13). Drug Use Statistics. Gitnux. https://gitnux.org/drug-use-statistics
Alexander Schmidt. "Drug Use Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/drug-use-statistics.
Alexander Schmidt. 2026. "Drug Use Statistics." Gitnux. https://gitnux.org/drug-use-statistics.
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