Key Takeaways
- The nonmedical prescription opioid use prevalence among people aged 12+ in the U.S. was 3.0% in 2021 (NSDUH)
- In 2019, there were 236 million outpatient visits involving an opioid prescription in the U.S. (IQVIA Drug Trends; reported in FDA/CDC analyses)
- In 2021, 12.8 million Americans received at least one prescription for opioids (CDC Morbidity and Mortality Weekly Report estimate)
- 16% of people aged 12+ in the U.S. reported misuse of prescription pain relievers at least once in their lifetime (NSDUH, 2019–2021 combined estimate)
- From 1999 to 2020, the U.S. saw a 119% increase in drug overdose death rates involving prescription opioids (CDC analysis)
- In 2021, 9.4% of adults in the U.S. who had substance use disorders also had an opioid use disorder (NSDUH)
- In 2022, 80.1% of opioid overdose deaths involved synthetic opioids (CDC)
- In 2022, 1 in 4 adults with substance use disorders received substance use treatment (NSDUH)
- In 2021, 48% of people with OUD received any treatment (including medication for opioid use disorder) in the past year (SAMHSA/NSDUH)
- A 2018 analysis estimated that opioid use disorder (including prescription-related pathways) cost the U.S. $1.02 trillion in 2017
- A JAMA Network Open study estimated prescription opioid misuse cost the U.S. $78.5 billion in 2017 (including healthcare, criminal justice, and productivity losses)
- A CDC estimate placed lifetime economic costs per opioid overdose death at $1.2 million (2013 dollars) (CDC analysis)
- In 2012, 259 million opioid prescriptions were dispensed in the U.S. (CDC data on opioid prescribing)
- In 2017, 21% of opioid prescriptions were for 7 days or less (CDC prescribing patterns analysis)
- In 2020, 6.3% of opioid prescriptions included a benzodiazepine co-prescription within 30 days (CDC; co-prescribing analysis)
In 2021, millions misused opioids and overdoses rose, yet only about half of people with OUD got treatment.
Health System Impact
Health System Impact Interpretation
Epidemiology
Epidemiology Interpretation
Prevention & Treatment
Prevention & Treatment Interpretation
Prescribing & Supply
Prescribing & Supply Interpretation
Prevalence
Prevalence Interpretation
Mortality
Mortality Interpretation
Treatment Gap
Treatment Gap Interpretation
Prevention & Harm Reduction
Prevention & Harm Reduction Interpretation
Cost Analysis
Cost Analysis 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.
David Sutherland. (2026, February 13). Prescription Drug Addiction Statistics. Gitnux. https://gitnux.org/prescription-drug-addiction-statistics
David Sutherland. "Prescription Drug Addiction Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/prescription-drug-addiction-statistics.
David Sutherland. 2026. "Prescription Drug Addiction Statistics." Gitnux. https://gitnux.org/prescription-drug-addiction-statistics.
References
- 1samhsa.gov/data/report/2023-nsduh-annual-national-report
- 7samhsa.gov/data/report/2022-nsduh-mental-health-findings
- 8samhsa.gov/data/sites/default/files/reports/rpt35324/NSDUH-Drug-Use-Disorders-2019-2021-2013-2021.pdf
- 10samhsa.gov/data/report/2021-nsduh-recovery-services-and-substance-use-disorders
- 13samhsa.gov/data/report/2022-nsduh-annual-national-report
- 14samhsa.gov/data/report/2021-nsduh-annual-national-report
- 15samhsa.gov/data/report/2021-nsduh-reports
- 16samhsa.gov/data/report/2022-ndsued
- 18samhsa.gov/find-treatment/otp
- 19samhsa.gov/programs-campaigns/medication-assisted-treatment-data/buprenorphine-waivered-prescriber-data
- 34samhsa.gov/data/sites/default/files/reports/rpt39393/NSDUH-2022-SAS-NSDUH-2022-detail-tables.pdf
- 35samhsa.gov/data/sites/default/files/reports/rpt39393/NSDUH-2022-NSDUH-2022-summary-of-national-findings-1.pdf
- 38samhsa.gov/data/sites/default/files/reports/rpt39393/2023-NSDUH-SUD-and-Help.pdf
- 39samhsa.gov/data/sites/default/files/reports/rpt39393/nssats-2022-facility-capability-report.pdf
- 41samhsa.gov/sites/default/files/grants/otps/2021-otp-naloxone-doses.pdf
- 2fda.gov/media/139990/download
- 3cdc.gov/mmwr/volumes/72/wr/mm7203a1.htm
- 4cdc.gov/nchs/products/databriefs/db459.htm
- 5cdc.gov/nchs/products/databriefs/db395.htm
- 6cdc.gov/mmwr/volumes/69/wr/mm6943a1.htm
- 9cdc.gov/mmwr/preview/mmwrhtml/mm6434a4.htm
- 11cdc.gov/mmwr/volumes/70/wr/mm7002a4.htm
- 12cdc.gov/nchs/data/vsrr/vsrr016.pdf
- 20cdc.gov/mmwr/volumes/69/rr/rr6905a1.htm
- 25cdc.gov/mmwr/volumes/66/wr/mm6608a1.htm
- 27cdc.gov/mmwr/volumes/67/wr/mm6704a4.htm
- 31cdc.gov/mmwr/preview/mmwrhtml/mm6128a3.htm
- 32cdc.gov/mmwr/volumes/67/wr/mm6701a1.htm
- 33cdc.gov/mmwr/volumes/69/wr/mm6906e1.htm
- 36cdc.gov/mmwr/volumes/72/wr/mm7203a4.htm
- 37cdc.gov/nchs/data/databriefs/db476.pdf
- 17jamanetwork.com/journals/jama/fullarticle/2624986
- 22jamanetwork.com/journals/jama/fullarticle/2648228
- 23jamanetwork.com/journals/jama/fullarticle/2731431
- 24jamanetwork.com/journals/jamanetworkopen/fullarticle/2711589
- 40jamanetwork.com/journals/jama/article-abstract/doi/10.1001/jama.2021.17888
- 21nejm.org/doi/full/10.1056/NEJMoa0809579
- 26academic.oup.com/jcr/article/34/1/1/4562755
- 28ncbi.nlm.nih.gov/pmc/articles/PMC7444976/
- 29healthaffairs.org/content/forefront/opioid-crisis-costs-insurers-medical-claims
- 30aspe.hhs.gov/reports/opioid-crisis-economic-costs-2017
- 42iiid.org/wp-content/uploads/2023/01/opioid-disability-claims-2021.pdf







