State-Level Economic Costs of Opioid Use Disorder and Fatal Opioid Overdose — United States, 2017

Feijun Luo, PhD1; Mengyao Li, PhD1; Curtis Florence, PhD1 (View author affiliations)

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Summary

What is already known about this topic?

The U.S. economic cost of opioid use disorder ($471 billion) and fatal opioid overdose ($550 billion) during 2017 totaled $1,021 billion.

What is added by this report?

In the 39 jurisdictions studied, combined costs of opioid use disorder and fatal opioid overdose varied from $985 million in Wyoming to $72,583 million in Ohio. Per capita combined costs varied from $1,204 in Hawaii to $7,247 in West Virginia. States with high per capita combined costs were located mainly in the Ohio Valley and New England.

What are the implications for public health practice?

Federal and state public health agencies can use these data to help guide decisions regarding research, prevention and response activities, and resource allocation.

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Approximately 47,000 persons in the United States died from an opioid-involved overdose in 2018 (1), and 2.0 million persons met the diagnostic criteria for an opioid use disorder in 2017 (2). The economic cost of the U.S. opioid epidemic in 2017 was estimated at $1,021 billion, including cost of opioid use disorder estimated at $471 billion and cost of fatal opioid overdose estimated at $550 billion (3). CDC used national-level cost estimates to estimate the state-level economic cost of opioid use disorder and fatal opioid overdose during 2017. Cases and costs of state-level opioid use disorder and fatal opioid overdose and per capita costs were calculated for each of the 38 states and the District of Columbia (DC) that met drug specificity requirements for mortality data (4). Combined costs of opioid use disorder and fatal opioid overdose (combined costs) varied substantially, ranging from $985 million in Wyoming to $72,583 million in Ohio. Per capita combined costs also varied considerably, ranging from $1,204 in Hawaii to $7,247 in West Virginia. States with high per capita combined costs were mainly in two regions: the Ohio Valley and New England. Federal and state public health agencies can use these data to help guide decisions regarding research, prevention and response activities, and resource allocation.

Estimated case counts of state-level opioid use disorder were extracted from the National Survey on Drug Use and Health (NSDUH) 2-Year Restricted-Use Data Analysis System (2016–2017) provided by the Substance Abuse and Mental Health Services Administration (5). NSDUH is a nationally representative sample of the U.S. civilian noninstitutionalized population aged ≥12 years. Cases of opioid use disorder were identified by using questions on opioid abuse or dependence during the past year.* Case counts of state-level fatal opioid overdose and population estimates in 2017 were extracted from CDC’s WONDER database (6). Cases of fatal opioid overdose were identified using International Classification of Diseases, Tenth Revision underlying cause-of-death codes X40–X44, X60–X64, X85, and Y10–Y14 and then multiple causes-of-death codes T40.0–T40.4 and T40.6. This report is limited to DC and the 38 states that met the requirement that at least one specific drug is named on the death certificate (4).

Cost per case of opioid use disorder ($221,219) was derived by dividing the total U.S. cost of opioid use disorder ($470,975 million) during 2017 by the number of opioid use disorder cases the same year (2.129 million) (3). Cost per case of fatal opioid overdose ($11.548 million) was derived by dividing the total cost of fatal opioid overdose ($549,691 million) by the number of fatal opioid overdose cases (47,600) (3). State-level cost of opioid use disorder was calculated by multiplying the U.S. cost of opioid use disorder per case by the number of cases of opioid use disorder in each state. State-level cost of fatal opioid overdose was calculated by multiplying the U.S. cost of fatal opioid overdose per death by the number of deaths in each state. To facilitate comparison across states, CDC divided state-level combined costs of opioid use disorder and fatal opioid overdose by state population to generate per capita costs. The 38 states and DC were ranked by per capita combined costs. Cost components of opioid use disorder and fatal opioid overdose include the costs of health care, substance use treatment, criminal justice, lost productivity, reduced quality of life, and the value of statistical life lost. These components were calculated by multiplying the number of state cases of opioid use disorder or fatal opioid overdose by national cost estimates per case for each component (3).§

Cases of opioid use disorder and fatal opioid overdose varied substantially among states, and the combined costs ranged from $985 million in Wyoming to $72,583 million in Ohio (Table 1). Per capita combined costs also varied widely among states, ranging from $1,204 in Hawaii to $7,247 in West Virginia. The state-level per capita combined costs exhibited geographic patterns (Figure); states with high per capita combined costs were located mainly in the Ohio Valley and New England. Three adjacent states in the Ohio Valley (West Virginia, Ohio, and Kentucky) had the first, second, and fourth highest per capita combined costs ($7,247, $6,226, and $5,491, respectively). Per capita costs of fatal opioid overdose were highest in West Virginia ($5,298) and Ohio ($4,252). Per capita combined costs in four neighboring New England states were among the eight highest: New Hampshire (third highest, $5,953), Massachusetts (fifth highest, $5,381), Maine (sixth highest, $5,099), and Connecticut (eighth highest, $4,800).

States with lower per capita combined costs were mainly in western regions: California, Hawaii, and Wyoming in the West; Minnesota in the Midwest; and Texas in the Southwest. Combined per capita costs were lowest in Hawaii ($1,204) and Minnesota ($1,509). Per capita cost of fatal opioid overdose was the lowest in Hawaii ($429), and per capita cost of opioid use disorder was the lowest in Minnesota ($635). The two most populous states (California and Texas) and the least populous state (Wyoming) were among the states with the lowest per capita combined costs: California, third lowest ($1,566), Wyoming, fourth lowest ($1,701) and Texas, fifth lowest ($1,736).

Reduced quality of life was the largest component of the cost of opioid use disorder, and the value of statistical life lost was the largest component of the cost of fatal opioid overdose (Table 2). These two components together accounted for approximately 84% of combined costs, followed by lost productivity.

Discussion

The opioid overdose epidemic had a substantial economic impact on the United States during 2017. Individual states differed widely in overall and per capita economic cost. Per capita combined costs of opioid use disorder and fatal opioid overdose were highest in states in the Ohio Valley and New England regions. Three states in New England (Connecticut, Maine, and Massachusetts) had high per capita combined costs in 2017. However, previous reports have shown that these states had low per capita lifetime medical and work-loss costs from all fatal injuries (including opioid overdose) in 2014 (7). Further investigation is needed to ascertain why states that have relatively low costs for other types of injuries have relatively high costs related to opioid use disorder and fatal overdose.

Several effective strategies have been identified to improve opioid prescribing consistent with clinical guidelines, treat opioid use disorder, and prevent fatal overdose. Pain clinic laws and combined implementation of mandated provider review of state-run prescription drug monitoring program data have reduced the amounts of opioids prescribed and prescription opioid overdose death rates (8). Treatment with Food and Drug Administration–approved medications (methadone, buprenorphine, or naltrexone) is the most effective form of treatment for opioid use disorder (9). Overdose education and nasal naloxone distribution programs reduced opioid overdose mortality rates in Massachusetts (10).

The findings in this report are subject to at least four limitations. First, this study is limited to the 38 states and DC that met drug specificity requirements for mortality data, so the rankings of combined costs and per capita costs do not apply to all 50 states. Second, the cost of opioid use disorder was measured for a single year rather than a lifetime, even though opioid use disorder might have a long-lasting effect on a person’s life. Third, the estimated case counts of opioid use disorder likely underrepresent the true prevalence of opioid use disorder because NSDUH does not include persons who are incarcerated or experiencing homelessness, two groups that often have high rates of opioid use disorder. Finally, this study did not directly calculate state costs per case of opioid use disorder and fatal opioid overdose but rather applied the national costs per case of opioid use disorder and fatal opioid overdose to individual states. Population characteristics of opioid use disorder and fatal opioid overdose cases at the state level might differ from those at the national level, potentially biasing state cost estimates.

These estimated costs of opioid use disorder and fatal opioid overdose and their per capita costs at the state level can assist federal and state decision makers in understanding the magnitude of opioid use disorder and fatal opioid overdose in their jurisdictions. Federal and state public health agencies can use these data to help guide decisions regarding research, prevention and response activities, and resource allocation.

Corresponding author: Feijun Luo, hto1@cdc.gov, 770-488-3896.


1Division of Injury Prevention, National Center for Injury Prevention and Control, CDC.

All authors have completed and submitted the International Committee of Medical Journal Editors form for disclosure of potential conflicts of interest. No potential conflicts of interest were disclosed.


* NSDUH classified respondents as having opioid use disorder during the past year if they had a heroin use disorder (dependence or abuse), pain reliever use disorder (dependence or abuse), or both during the past year.

Cases of fatal opioid overdose include all opioid-related overdose deaths regardless of intent (intentional, unintentional, homicide, or undetermined).

§ Cost estimates per case for components of opioid use disorder based on the value of a statistical life were as follows: health care, $14,705; substance use treatment, $1,660; criminal justice, $6,961; lost productivity, $14,707; and reduced quality of life, $183,186. Cost estimates per case for components of fatal opioid overdose were as follows: health care, $5,462; lost productivity, $1.443 million; and value of statistical life, $10.1 million.

References

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  2. Center for Behavioral Health Statistics and Quality. Results from the 2018 National Survey on Drug Use and Health: detailed tables. Rockville, MD: US Department of Health and Human Services, Substance Abuse and Mental Health Services Administration; 2019. https://www.samhsa.gov/data/report/2018-nsduh-detailed-tables
  3. Florence C, Luo F, Rice K. The economic burden of opioid use disorder and fatal opioid overdose in the United States, 2017. Drug Alcohol Depend 2021;218:108350. https://doi.org/10.1016/j.drugalcdep.2020.108350 PMID:33121867
  4. Wilson N, Kariisa M, Seth P, Smith H 4th, Davis NL. Drug and opioid-involved overdose deaths—United States, 2017–2018. MMWR Morb Mortal Wkly Rep 2020;69:290–7. https://doi.org/10.15585/mmwr.mm6911a4 PMID:32191688
  5. Substance Abuse and Mental Health Services Administration. National survey on drug use and health: 2-year RDAS (2016 to 2017). Rockville, MD: US Department of Health and Human Services, Substance Abuse and Mental Health Services Administration; 2021. https://rdas.samhsa.gov/#/survey/NSDUH-2016-2017-RD02YR
  6. CDC. CDC WONDER: about multiple cause of death, 1999–2019. Atlanta, GA: US Department of Health and Human Services, CDC; 2020. https://wonder.cdc.gov/mcd-icd10.html
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  8. Dowell D, Zhang K, Noonan RK, Hockenberry JM. Mandatory provider review and pain clinic laws reduce the amounts of opioids prescribed and overdose death rates. Health Aff (Millwood) 2016;35:1876–83. https://doi.org/10.1377/hlthaff.2016.0448 PMID:27702962
  9. National Academies of Sciences, Engineering, and Medicine. Medications for opioid use disorder save lives. Washington, DC: The National Academies Press; 2019.
  10. Walley AY, Xuan Z, Hackman HH, et al. Opioid overdose rates and implementation of overdose education and nasal naloxone distribution in Massachusetts: interrupted time series analysis. BMJ 2013;346:f174. https://doi.org/10.1136/bmj.f174 PMID:23372174
TABLE 1. Case counts and costs of opioid use disorder and fatal opioid overdose and per capita cost, by jurisdiction — 38 states and the District of Columbia, 2017*Return to your place in the text
Jurisdiction Estimated case count of opioid use disorder Case count of fatal opioid overdose Cost of opioid use disorder, $ (millions) Cost of fatal opioid overdose, $ (millions) Combined cost of opioid use disorder and fatal opioid overdose, $ (millions) Per capita cost of opioid use disorder, $ Per capita cost of fatal opioid overdose, $ Per capita combined cost of opioid use disorder and fatal opioid overdose, $
Hawaii 5,000 53 1,106.1 612.1 1,718.1 775 429 1,204
Minnesota 16,000 422 3,539.5 4,873.3 8,412.8 635 874 1,509
California 165,000 2,199 36,501.1 25,394.3 61,895.5 923 642 1,566
Wyoming 2,000 47 442.4 542.8 985.2 764 937 1,701
Texas 146,000 1,458 32,298.0 16,837.2 49,135.1 1,141 595 1,736
Iowa 17,000 206 3,760.7 2,378.9 6,139.6 1,196 756 1,952
Georgia 41,000 1,014 9,070.0 11,709.8 20,779.8 870 1,123 1,992
Mississippi 20,000 185 4,424.4 2,136.4 6,560.8 1,483 716 2,199
Colorado 35,000 578 7,742.7 6,674.8 14,417.5 1,381 1,190 2,571
Oklahoma 26,000 388 5,751.7 4,480.7 10,232.4 1,463 1,140 2,603
Oregon 37,000 344 8,185.1 3,972.6 12,157.7 1,976 959 2,935
New York 103,000 3,224 22,785.5 37,231.2 60,016.7 1,148 1,876 3,024
Missouri 34,000 952 7,521.4 10,993.8 18,515.3 1,230 1,798 3,029
Arizona 50,000 928 11,060.9 10,716.7 21,777.6 1,576 1,527 3,104
New Mexico 12,000 332 2,654.6 3,834.0 6,488.6 1,271 1,836 3,107
Washington 68,000 742 15,042.9 8,568.7 23,611.6 2,031 1,157 3,188
Wisconsin 36,000 926 7,963.9 10,693.6 18,657.4 1,374 1,845 3,219
Illinois 73,000 2,202 16,149.0 25,429.0 41,578.0 1,261 1,986 3,248
Florida 140,000 3,245 30,970.6 37,473.7 68,444.3 1,476 1,786 3,262
Virginia 63,000 1,241 13,936.8 14,331.2 28,268.0 1,645 1,692 3,337
South Carolina 37,000 749 8,185.1 8,649.5 16,834.6 1,629 1,722 3,351
Alaska 6,000 102 1,327.3 1,177.9 2,505.2 1,794 1,592 3,386
Tennessee 44,000 1,269 9,733.6 14,654.6 24,388.2 1,449 2,182 3,631
North Carolina 76,000 1,953 16,812.6 22,553.5 39,366.1 1,637 2,195 3,832
Utah 30,000 456 6,636.6 5,265.9 11,902.5 2,140 1,698 3,837
Vermont 5,000 114 1,106.1 1,316.5 2,422.6 1,774 2,111 3,884
Indiana 56,000 1,176 12,388.3 13,580.6 25,968.9 1,858 2,037 3,895
Nevada 34,000 412 7,521.4 4,757.8 12,279.3 2,509 1,587 4,096
Michigan 81,000 2,033 17,918.7 23,477.3 41,396.1 1,799 2,357 4,155
Rhode Island 6,000 277 1,327.3 3,198.8 4,526.1 1,253 3,019 4,271
District of Columbia 2,000 244 442.4 2,817.7 3,260.2 638 4,060 4,698
Connecticut 28,000 955 6,194.1 11,028.5 17,222.6 1,726 3,074 4,800
Maryland 30,000 1,985 6,636.6 22,923.0 29,559.6 1,097 3,788 4,884
Maine 12,000 360 2,654.6 4,157.3 6,812.0 1,987 3,112 5,099
Massachusetts 67,000 1,913 14,821.7 22,091.6 36,913.2 2,161 3,220 5,381
Kentucky 50,000 1,160 11,060.9 13,395.8 24,456.8 2,483 3,007 5,491
New Hampshire 14,000 424 3,097.1 4,896.4 7,993.5 2,306 3,646 5,953
Ohio 104,000 4,293 23,006.8 49,576.1 72,582.9 1,973 4,252 6,226
West Virginia 16,000 833 3,539.5 9,619.6 13,159.1 1,949 5,298 7,247

Source: Florence C, Luo F, Rice K. The economic burden of opioid use disorder and fatal opioid overdose in the United States, 2017. Drug Alcohol Depend 2021;218:108350. https://linkinghub.elsevier.com/retrieve/pii/S0376871620305159
* Estimated case counts of opioid use disorder in 2017 were extracted from the National Survey on Drug Use and Health’s 2-Year Restricted-Use Data Analysis System (2016–2017); cases of opioid use disorder were identified by using questions on opioid abuse or dependence during the past year; case counts of fatal opioid overdose and population estimates in 2017 were extracted from CDC’s WONDER database; cases of fatal opioid overdose were identified using International Classification of Diseases, Tenth Revision codes for the underlying cause-of-death (X40–X44, X60–X64, X85, and Y10–Y14) and then for multiple causes-of-death (T40.0–T40.4 and T40.6).
Jurisdictions are listed in ascending order of per capita combined cost of opioid use disorder and fatal opioid overdose.

Return to your place in the textFIGURE. Per capita combined costs* of opioid use disorder and fatal opioid overdose — United States, 2017
The figure is a map of the United States illustrating the per capita combined costs of opioid use disorder and fatal opioid overdose in the United States for 2017.

Abbreviation: DC= District of Columbia.

* Per capita combined costs are combined costs of opioid use disorder and fatal opioid overdose divided by state population and are expressed in 2017 U.S. dollars.

TABLE 2. Cost components of opioid use disorder and fatal opioid overdose, by jurisdiction — 38 states and the District of Columbia, 2017*Return to your place in the text
Jurisdiction Estimated case counts of opioid use disorder Cost components of opioid use disorder, $ (millions) Case counts of fatal opioid overdose Cost components of fatal opioid overdose, $ (millions)
Health care Substance use treatment Criminal justice Lost productivity Reduced quality of life Health care Lost productivity Value of statistical life lost
Hawaii 5,000 73.5 8.3 34.8 73.5 915.9 53 0.3 76.5 535.3
Minnesota 16,000 235.3 26.6 111.4 235.3 2,931.0 422 2.3 609.0 4,262.0
California 165,000 2,426.4 273.9 1,148.5 2,426.6 30,225.7 2,199 12.0 3,173.5 22,208.8
Wyoming 2,000 29.4 3.3 13.9 29.4 366.4 47 0.3 67.8 474.7
Texas 146,000 2,147.0 242.4 1,016.2 2,147.2 26,745.2 1,458 8.0 2,104.1 14,725.1
Iowa 17,000 250.0 28.2 118.3 250.0 3,114.2 206 1.1 297.3 2,080.5
Georgia 41,000 602.9 68.1 285.4 603.0 7,510.6 1,014 5.5 1,463.4 10,240.9
Mississippi 20,000 294.1 33.2 139.2 294.1 3,663.7 185 1.0 267.0 1,868.4
Colorado 35,000 514.7 58.1 243.6 514.7 6,411.5 578 3.2 834.1 5,837.5
Oklahoma 26,000 382.3 43.2 181.0 382.4 4,762.8 388 2.1 559.9 3,918.6
Oregon 37,000 544.1 61.4 257.5 544.2 6,777.9 344 1.9 496.4 3,474.2
New York 103,000 1,514.7 171.0 716.9 1,514.8 18,868.2 3,224 17.6 4,652.7 32,560.8
Missouri 34,000 500.0 56.4 236.7 500.0 6,228.3 952 5.2 1,373.9 9,614.7
Arizona 50,000 735.3 83.0 348.0 735.3 9,159.3 928 5.1 1,339.2 9,372.4
New Mexico 12,000 176.5 19.9 83.5 176.5 2,198.2 332 1.8 479.1 3,353.0
Washington 68,000 1,000.0 112.9 473.3 1,000.1 12,456.6 742 4.1 1,070.8 7,493.8
Wisconsin 36,000 529.4 59.8 250.6 529.4 6,594.7 926 5.1 1,336.4 9,352.2
Illinois 73,000 1,073.5 121.2 508.1 1,073.6 13,372.6 2,202 12.0 3,177.8 22,239.1
Florida 140,000 2,058.8 232.4 974.5 2,059.0 25,646.0 3,245 17.7 4,683.0 32,772.9
Virginia 63,000 926.4 104.6 438.5 926.5 11,540.7 1,241 6.8 1,791.0 12,533.5
South Carolina 37,000 544.1 61.4 257.5 544.2 6,777.9 749 4.1 1,080.9 7,564.5
Alaska 6,000 88.2 10.0 41.8 88.2 1,099.1 102 0.6 147.2 1,030.2
Tennessee 44,000 647.0 73.0 306.3 647.1 8,060.2 1,269 6.9 1,831.4 12,816.3
North Carolina 76,000 1,117.6 126.2 529.0 1,117.7 13,922.1 1,953 10.7 2,818.5 19,724.4
Utah 30,000 441.2 49.8 208.8 441.2 5,495.6 456 2.5 658.1 4,605.4
Vermont 5,000 73.5 8.3 34.8 73.5 915.9 114 0.6 164.5 1,151.3
Indiana 56,000 823.5 93.0 389.8 823.6 10,258.4 1,176 6.4 1,697.1 11,877.0
Nevada 34,000 500.0 56.4 236.7 500.0 6,228.3 412 2.3 594.6 4,161.0
Michigan 81,000 1,191.1 134.5 563.8 1,191.3 14,838.1 2,033 11.1 2,933.9 20,532.3
Rhode Island 6,000 88.2 10.0 41.8 88.2 1,099.1 277 1.5 399.8 2,797.6
District of Columbia 2,000 29.4 3.3 13.9 29.4 366.4 244 1.3 352.1 2,464.3
Connecticut 28,000 411.8 46.5 194.9 411.8 5,129.2 955 5.2 1,378.2 9,645.0
Maryland 30,000 441.2 49.8 208.8 441.2 5,495.6 1,985 10.8 2,864.7 20,047.5
Maine 12,000 176.5 19.9 83.5 176.5 2,198.2 360 2.0 519.5 3,635.8
Massachusetts 67,000 985.3 111.2 466.4 985.4 12,273.5 1,913 10.4 2,760.7 19,320.4
Kentucky 50,000 735.3 83.0 348.0 735.3 9,159.3 1,160 6.3 1,674.1 11,715.4
New Hampshire 14,000 205.9 23.2 97.4 205.9 2,564.6 424 2.3 611.9 4,282.2
Ohio 104,000 1,529.4 172.6 723.9 1,529.5 19,051.3 4,293 23.4 6,195.4 43,357.2
West Virginia 16,000 235.3 26.6 111.4 235.3 2,931.0 833 4.6 1,202.1 8,412.9

Source: Florence C, Luo F, Rice K. The economic burden of opioid use disorder and fatal opioid overdose in the United States, 2017. Drug Alcohol Depend 2021;218:108350. https://linkinghub.elsevier.com/retrieve/pii/S0376871620305159
* Estimated case counts of opioid use disorder in 2017 were extracted from the National Survey on Drug Use and Health’s 2-Year Restricted-Use Data Analysis System (2016–2017); cases of opioid use disorder were identified by using questions on opioid abuse or dependence during the past year; case counts of fatal opioid overdose and population estimates in 2017 were extracted from CDC’s WONDER database; cases of fatal opioid overdose were identified by using International Classification of Diseases, Tenth Revision codes for the underlying cause-of-death (X40–X44, X60–X64, X85, and Y10–Y14) and then for multiple causes-of-death (T40.0–T40.4 and T40.6).
Jurisdictions are listed in ascending order of per capita combined cost of opioid use disorder and fatal opioid overdose.


Suggested citation for this article: Luo F, Li M, Florence C. State-Level Economic Costs of Opioid Use Disorder and Fatal Opioid Overdose — United States, 2017. MMWR Morb Mortal Wkly Rep 2021;70:541–546. DOI: http://dx.doi.org/10.15585/mmwr.mm7015a1.

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