Key Takeaways
- The opioid crisis cost the US $1.02 trillion in 2017, including healthcare and productivity losses
- Opioid misuse cost $504 billion in lost productivity in 2015
- Each opioid overdose death costs $1.02 million in economic burden
- Neonatal opioid exposure affected 5.9 per 1,000 hospital births in 2019
- Opioid use disorder in pregnancy increased 4-fold from 2010-2019
- Chronic opioid therapy associated with 50% higher fracture risk in older adults
- In 2021, there were 80,411 opioid-involved overdose deaths in the United States, marking a 22% increase from 2020
- Synthetic opioids other than methadone (primarily fentanyl) were involved in 71,238 overdose deaths in 2021, accounting for 88% of all opioid-involved deaths
- From 1999 to 2021, nearly 645,000 people died from an opioid overdose in the US
- In 2020, US opioid prescriptions totaled 143 million, down 44% from 2011 peak
- 42 states implemented PDMPs by 2023, reducing opioid prescribing by 7%
- Naloxone prescriptions increased 347% from 2012-2018
- In 2021, 14.6 million people aged 12+ misused prescription opioids in the past year
- 9.2 million people aged 12+ used prescription pain relievers nonmedically in the past year in 2021
- Past-year heroin use was reported by 828,000 people aged 12+ in 2021
In 2017 the opioid crisis cost the US $1.02 trillion, underscoring the urgent need for prevention and treatment.
Economics
Economics Interpretation
Health Effects
Health Effects Interpretation
Mortality
Mortality Interpretation
Policy
Policy Interpretation
Prevalence
Prevalence Interpretation
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.
Ryan Townsend. (2026, February 13). Opiod Statistics. Gitnux. https://gitnux.org/opiod-statistics
Ryan Townsend. "Opiod Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/opiod-statistics.
Ryan Townsend. 2026. "Opiod Statistics." Gitnux. https://gitnux.org/opiod-statistics.
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