LOW RISKANNUAL

Annual U.S. Death Risk from Drug Overdose Suicide (2023)

1.3 per 100,000 (about 1 in 76,923)

Annual probability in US

In 2023, NCHS reported an age-adjusted U.S. death rate from drug overdose suicide of 1.3 per 100,000 (about 1 in 76,923).

The National Center for Health Statistics reported 4,660 U.S. deaths from drug overdose suicide in 2023. The age-adjusted death rate was 1.3 per 100,000 (about 1 in 76,923), based on National Vital Statistics System mortality data and the injury categories used in NCHS Data Brief No. 526.

This is an annual population rate, not a personalized prediction. Age-adjusted injury rates are standardized to the 2000 U.S. population so trends can be compared over time without being distorted by changes in the country's age structure. A person's actual risk can be much higher or lower depending on age, sex, occupation, substance exposure, mental health, firearm access, driving exposure, neighborhood conditions, disability, and medical care access.

The decision value comes from matching prevention to the mechanism. NCHS organizes injury deaths first by intent and then by method; this fact is classified under suicide and the method is drug overdose. That matters because the actions that reduce risk are different across mechanisms. For this category, practical decisions often center on medication safety, limiting access to lethal quantities during crises, psychiatric care, substance-use treatment, and family or clinician follow-up.

The rate also keeps risk perception grounded. Injury deaths are vivid, but the specific mechanism matters: drug overdose, falls, motor vehicle traffic, suicide, and homicide occupy very different prevention worlds. The ICD-10 codes used for this statistic are X60-X64, so the number is best read as a national benchmark for decision framing rather than a diagnosis or incident-level forecast.

CDCNCHS2023 injury mortalityannual death risksuicidedrug overdose

Use This in a Decision

Plug this probability into our expected value calculator to make a data-driven decision.

Start a Decision