Key Takeaways
- Among US males aged 12+, past-year SUD rate was 22.5% in 2022 compared to 12.4% for females.
- US females had higher rates of prescription opioid misuse at 1.4% past month vs. 1.2% males in 2021.
- Non-Hispanic White adults had the highest past-year opioid misuse rate of 3.3% in 2021.
- US drug misuse cost $1.02 trillion in 2017, including $504B healthcare.
- Illicit drug use economic burden was $740 billion annually in US 2007, updated to $1T+.
- Opioid crisis cost US $1.02 trillion in 2020, with $504B lost productivity.
- Opioid overdose deaths caused 109,680 fatalities in the US in 2022.
- Fentanyl was involved in 68% of all US overdose deaths in 2021.
- Drug-induced deaths rose to 107,941 in the US in 2021, age-adjusted rate 32.4 per 100,000.
- In 2022, approximately 48.7 million people aged 12 or older in the United States had a past year substance use disorder (SUD), equating to 17.3% of this population.
- Globally, an estimated 296 million people used drugs in 2021, a 23% increase from 2010.
- In the US, past-month illicit drug use among people aged 12 or older reached 24.9% or 70.4 million individuals in 2021.
- Only 10.3% of US people with SUD received treatment in 2022.
- Medication-assisted treatment (MAT) with buprenorphine reaches only 23% of opioid use disorder patients.
- Relapse rates for drug addiction average 40-60% within first year post-treatment.
In 2022, 17.3% of US adults ages 26-plus had a substance use disorder, with highest rates among 18 to 25 year olds.
Demographic Statistics
Demographic Statistics Interpretation
Health and Mortality Statistics
Health and Mortality Statistics Interpretation
Prevalence and Usage Statistics
Prevalence and Usage Statistics Interpretation
Treatment and Recovery Statistics
Treatment and Recovery Statistics 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.
Aisha Okonkwo. (2026, February 13). Drug Addiction Statistics. Gitnux. https://gitnux.org/drug-addiction-statistics
Aisha Okonkwo. "Drug Addiction Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/drug-addiction-statistics.
Aisha Okonkwo. 2026. "Drug Addiction Statistics." Gitnux. https://gitnux.org/drug-addiction-statistics.
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