| Literature DB >> 30605448 |
Lawrence Scholl1, Puja Seth1, Mbabazi Kariisa1, Nana Wilson1, Grant Baldwin1.
Abstract
The 63,632 drug overdose deaths in the United States in 2016 represented a 21.4% increase from 2015; two thirds of these deaths involved an opioid (1). From 2015 to 2016, drug overdose deaths increased in all drug categories examined; the largest increase occurred among deaths involving synthetic opioids other than methadone (synthetic opioids), which includes illicitly manufactured fentanyl (IMF) (1). Since 2013, driven largely by IMF, including fentanyl analogs (2-4), the current wave of the opioid overdose epidemic has been marked by increases in deaths involving synthetic opioids. IMF has contributed to increases in overdose deaths, with geographic differences reported (1). CDC examined state-level changes in death rates involving all drug overdoses in 50 states and the District of Columbia (DC) and those involving synthetic opioids in 20 states, during 2013-2017. In addition, changes in death rates from 2016 to 2017 involving all opioids and opioid subcategories,* were examined by demographics, county urbanization levels, and by 34 states and DC. Among 70,237 drug overdose deaths in 2017, 47,600 (67.8%) involved an opioid.† From 2013 to 2017, drug overdose death rates increased in 35 of 50 states and DC, and significant increases in death rates involving synthetic opioids occurred in 15 of 20 states, likely driven by IMF (2,3). From 2016 to 2017, overdose deaths involving all opioids and synthetic opioids increased, but deaths involving prescription opioids and heroin remained stable. The opioid overdose epidemic continues to worsen and evolve because of the continuing increase in deaths involving synthetic opioids. Provisional data from 2018 indicate potential improvements in some drug overdose indicators;§ however, analysis of final data from 2018 is necessary for confirmation. More timely and comprehensive surveillance data are essential to inform efforts to prevent and respond to opioid overdoses; intensified prevention and response measures are urgently needed to curb deaths involving prescription and illicit opioids, specifically IMF.Entities:
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Year: 2018 PMID: 30605448 PMCID: PMC6334822 DOI: 10.15585/mmwr.mm675152e1
Source DB: PubMed Journal: MMWR Morb Mortal Wkly Rep ISSN: 0149-2195 Impact factor: 17.586
Annual number and age-adjusted rate of drug overdose deaths* involving all opioids and prescription opioids,, by sex, age, race and Hispanic origin,** urbanization level, and selected states — United States, 2016 and 2017
| Decedent characteristic | All
opioids | Prescription
opioids | ||||||||||
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| 2016 | 2017 | Change from
2016 to 2017¶¶ | 2016 | 2017 | Change from
2016 to 2017¶¶ | |||||||
| No. | Rate | No. | Rate | Absolute rate change | % Change in rate | No. | Rate | No. | Rate | Absolute rate change | % Change in rate | |
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| Male | 28,498 | 18.1 | 32,337 | 20.4 | 2.3*** | 12.7*** | 9,978 | 6.2 | 9,873 | 6.1 | -0.1 | -1.6 |
| Female | 13,751 | 8.5 | 15,263 | 9.4 | 0.9*** | 10.6*** | 7,109 | 4.3 | 7,156 | 4.2 | -0.1 | -2.3 |
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| 0–14 | 83 | 0.1 | 79 | 0.1 | 0.0 | 0.0 | 60 | 0.1 | 50 | 0.1 | 0.0 | 0.0 |
| 15–24 | 4,027 | 9.3 | 4,094 | 9.5 | 0.2 | 2.2 | 1,146 | 2.6 | 1,050 | 2.4 | -0.2 | -7.7 |
| 25–34 | 11,552 | 25.9 | 13,181 | 29.1 | 3.2*** | 12.4*** | 3,442 | 7.7 | 3,408 | 7.5 | -0.2 | -2.6 |
| 35–44 | 9,747 | 24.1 | 11,149 | 27.3 | 3.2*** | 13.3*** | 3,727 | 9.2 | 3,714 | 9.1 | -0.1 | -1.1 |
| 45–54 | 9,074 | 21.2 | 10,207 | 24.1 | 2.9*** | 13.7*** | 4,307 | 10.1 | 4,238 | 10.0 | -0.1 | -1.0 |
| 55–64 | 6,321 | 15.2 | 7,153 | 17.0 | 1.8*** | 11.8*** | 3,489 | 8.4 | 3,509 | 8.4 | 0.0 | 0.0 |
| ≥65 | 1,441 | 2.9 | 1,724 | 3.4 | 0.5*** | 17.2*** | 915 | 1.9 | 1,055 | 2.1 | 0.2*** | 10.5*** |
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| Male 15–24 | 2,986 | 13.4 | 2,885 | 13.0 | -0.4 | -3.0 | 852 | 3.8 | 728 | 3.3 | -0.5*** | -13.2*** |
| Male 25–44 | 15,137 | 35.4 | 17,352 | 40.0 | 4.6*** | 13.0*** | 4,527 | 10.6 | 4,516 | 10.4 | -0.2 | -1.9 |
| Male 45–64 | 9,519 | 23.2 | 11,061 | 26.9 | 3.7*** | 15.9*** | 4,124 | 10.0 | 4,089 | 9.9 | -0.1 | -1.0 |
| Female 15–24 | 1,041 | 4.9 | 1,209 | 5.7 | 0.8*** | 16.3*** | 294 | 1.4 | 322 | 1.5 | 0.1 | 7.1 |
| Female 25–44 | 6,162 | 14.5 | 6,978 | 16.3 | 1.8*** | 12.4*** | 2,642 | 6.2 | 2,606 | 6.1 | -0.1 | -1.6 |
| Female 45–64 | 5,876 | 13.6 | 6,299 | 14.6 | 1.0*** | 7.4*** | 3,672 | 8.5 | 3,658 | 8.5 | 0.0 | 0.0 |
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| White, non-Hispanic | 33,450 | 17.5 | 37,113 | 19.4 | 1.9*** | 10.9*** | 14,167 | 7.0 | 13,900 | 6.9 | -0.1 | -1.4 |
| Black, non-Hispanic | 4,374 | 10.3 | 5,513 | 12.9 | 2.6*** | 25.2*** | 1,392 | 3.3 | 1,508 | 3.5 | 0.2 | 6.1 |
| Hispanic | 3,440 | 6.1 | 3,932 | 6.8 | 0.7*** | 11.5*** | 1,133 | 2.1 | 1,211 | 2.2 | 0.1 | 4.8 |
| American Indian/Alaska Native,
non-Hispanic | 369 | 13.9 | 408 | 15.7 | 1.8 | 12.9 | 173 | 6.5 | 187 | 7.2 | 0.7 | 10.8 |
| Asian/Pacific Islander,
non-Hispanic | 323 | 1.5 | 348 | 1.6 | 0.1 | 6.7 | 131 | 0.7 | 130 | 0.6 | -0.1 | -14.3 |
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| Large central metro | 12,903 | 12.5 | 14,518 | 13.9 | 1.4*** | 11.2*** | 4,930 | 4.7 | 4,945 | 4.7 | 0.0 | 0.0 |
| Large fringe metro | 11,993 | 15.4 | 13,594 | 17.2 | 1.8*** | 11.7*** | 4,209 | 5.2 | 4,273 | 5.2 | 0.0 | 0.0 |
| Medium metro | 9,264 | 14.3 | 10,561 | 16.2 | 1.9*** | 13.3*** | 3,988 | 6.0 | 3,951 | 5.9 | -0.1 | -1.7 |
| Small metro | 3,224 | 11.7 | 3,560 | 12.9 | 1.2*** | 10.3*** | 1,471 | 5.2 | 1,479 | 5.2 | 0.0 | 0.0 |
| Micropolitan (nonmetro) | 3,068 | 12.1 | 3,462 | 13.9 | 1.8*** | 14.9*** | 1,475 | 5.7 | 1,440 | 5.6 | -0.1 | -1.8 |
| Noncore (nonmetro) | 1,797 | 10.5 | 1,905 | 11.2 | 0.7 | 6.7 | 1,014 | 5.7 | 941 | 5.3 | -0.4 | -7.0 |
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| Alaska | 94 | 12.5 | 102 | 13.9 | 1.4 | 11.2 | 51 | 6.8 | 51 | 7.0 | 0.2 | 2.9 |
| Connecticut | 855 | 24.5 | 955 | 27.7 | 3.2*** | 13.1*** | 264 | 7.2 | 273 | 7.7 | 0.5 | 6.9 |
| District of Columbia | 209 | 30.0 | 244 | 34.7 | 4.7 | 15.7 | 66 | 9.3 | 58 | 8.4 | -0.9 | -9.7 |
| Georgia | 918 | 8.8 | 1,014 | 9.7 | 0.9*** | 10.2*** | 536 | 5.1 | 568 | 5.4 | 0.3 | 5.9 |
| Hawaii | 77 | 5.2 | 53 | 3.4 | -1.8 | -34.6 | 55 | 3.6 | 40 | 2.5 | -1.1 | -30.6 |
| Illinois | 1,947 | 15.3 | 2,202 | 17.2 | 1.9*** | 12.4*** | 479 | 3.7 | 623 | 4.8 | 1.1*** | 29.7*** |
| Iowa | 183 | 6.2 | 206 | 6.9 | 0.7 | 11.3 | 92 | 3.1 | 104 | 3.4 | 0.3 | 9.7 |
| Maine | 301 | 25.2 | 360 | 29.9 | 4.7*** | 18.7*** | 154 | 12.5 | 100 | 7.6 | -4.9*** | -39.2*** |
| Maryland | 1,821 | 29.7 | 1,985 | 32.2 | 2.5*** | 8.4*** | 812 | 13.1 | 711 | 11.5 | -1.6*** | -12.2*** |
| Massachusetts | 1,990 | 29.7 | 1,913 | 28.2 | -1.5 | -5.1 | 351 | 4.9 | 321 | 4.6 | -0.3 | -6.1 |
| Nevada | 408 | 13.3 | 412 | 13.3 | 0.0 | 0.0 | 275 | 8.9 | 276 | 8.7 | -0.2 | -2.2 |
| New Hampshire | 437 | 35.8 | 424 | 34.0 | -1.8 | -5.0 | 89 | 6.5 | 62 | 4.8 | -1.7 | -26.2 |
| New Mexico | 349 | 17.5 | 332 | 16.7 | -0.8 | -4.6 | 186 | 9.2 | 171 | 8.5 | -0.7 | -7.6 |
| New York | 3,009 | 15.1 | 3,224 | 16.1 | 1.0*** | 6.6*** | 1,100 | 5.4 | 1,044 | 5.1 | -0.3 | -5.6 |
| North Carolina | 1,506 | 15.4 | 1,953 | 19.8 | 4.4*** | 28.6*** | 695 | 6.9 | 659 | 6.5 | -0.4 | -5.8 |
| Ohio | 3,613 | 32.9 | 4,293 | 39.2 | 6.3*** | 19.1*** | 867 | 7.7 | 947 | 8.4 | 0.7 | 9.1 |
| Oklahoma | 444 | 11.6 | 388 | 10.2 | -1.4 | -12.1 | 322 | 8.4 | 251 | 6.7 | -1.7*** | -20.2*** |
| Oregon | 312 | 7.6 | 344 | 8.1 | 0.5 | 6.6 | 165 | 3.9 | 154 | 3.5 | -0.4 | -10.3 |
| Rhode Island | 279 | 26.7 | 277 | 26.9 | 0.2 | 0.7 | 114 | 10.5 | 99 | 8.8 | -1.7 | -16.2 |
| South Carolina | 628 | 13.1 | 749 | 15.5 | 2.4*** | 18.3*** | 381 | 7.8 | 345 | 7.1 | -0.7 | -9.0 |
| Tennessee | 1,186 | 18.1 | 1,269 | 19.3 | 1.2 | 6.6 | 739 | 11.1 | 644 | 9.6 | -1.5*** | -13.5*** |
| Utah | 466 | 16.4 | 456 | 15.5 | -0.9 | -5.5 | 349 | 12.5 | 315 | 10.8 | -1.7 | -13.6 |
| Vermont | 101 | 18.4 | 114 | 20.0 | 1.6 | 8.7 | 35 | 5.9 | 40 | 6.3 | 0.4 | 6.8 |
| Virginia | 1,130 | 13.5 | 1,241 | 14.8 | 1.3*** | 9.6*** | 400 | 4.7 | 404 | 4.7 | 0.0 | 0.0 |
| Washington | 709 | 9.4 | 742 | 9.6 | 0.2 | 2.1 | 388 | 5.0 | 343 | 4.3 | -0.7*** | -14.0*** |
| West Virginia | 733 | 43.4 | 833 | 49.6 | 6.2*** | 14.3*** | 340 | 19.7 | 304 | 17.2 | -2.5 | -12.7 |
| Wisconsin | 866 | 15.8 | 926 | 16.9 | 1.1 | 7.0 | 382 | 6.7 | 362 | 6.4 | -0.3 | -4.5 |
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| Arizona | 769 | 11.4 | 928 | 13.5 | 2.1*** | 18.4*** | 380 | 5.6 | 414 | 5.9 | 0.3 | 5.4 |
| California | 2,012 | 4.9 | 2,199 | 5.3 | 0.4*** | 8.2*** | 1,172 | 2.8 | 1,169 | 2.8 | 0.0 | 0.0 |
| Colorado | 536 | 9.5 | 578 | 10.0 | 0.5 | 5.3 | 258 | 4.5 | 300 | 5.1 | 0.6 | 13.3 |
| Kentucky | 989 | 23.6 | 1,160 | 27.9 | 4.3*** | 18.2*** | 429 | 10.0 | 433 | 10.2 | 0.2 | 2.0 |
| Michigan | 1,762 | 18.5 | 2,033 | 21.2 | 2.7*** | 14.6*** | 678 | 7.0 | 633 | 6.5 | -0.5 | -7.1 |
| Minnesota | 396 | 7.4 | 422 | 7.8 | 0.4 | 5.4 | 195 | 3.6 | 195 | 3.6 | 0.0 | 0.0 |
| Missouri | 914 | 15.9 | 952 | 16.5 | 0.6 | 3.8 | 268 | 4.5 | 253 | 4.1 | -0.4 | -8.9 |
| Texas | 1,375 | 4.9 | 1,458 | 5.1 | 0.2 | 4.1 | 617 | 2.2 | 646 | 2.3 | 0.1 | 4.5 |
Source: National Vital Statistics System, Mortality file.
* Deaths are classified using the International Classification of Diseases, Tenth Revision (ICD–10). Drug overdose deaths are identified using underlying cause-of-death codes X40–X44, X60–X64, X85, and Y10–Y14. Rates are age-adjusted using the direct method and the 2000 U.S. standard population, except for age-specific crude rates. All rates are per 100,000 population.
† Drug overdose deaths, as defined, that have opium (T40.0), heroin (T40.1), natural and semisynthetic opioids (T40.2), methadone (T40.3), synthetic opioids other than methadone (T40.4), or other and unspecified narcotics (T40.6) as a contributing cause.
§ Drug overdose deaths, as defined, that have natural and semisynthetic opioids (T40.2) or methadone (T40.3) as a contributing cause.
¶ Categories of deaths are not exclusive because deaths might involve more than one drug. Summing of categories will result in more than the total number of deaths in a year.
** Data for Hispanic origin should be interpreted with caution; studies comparing Hispanic origin on death certificates and on census surveys have shown inconsistent reporting on Hispanic ethnicity. Potential race misclassification might lead to underestimates for certain categories, primarily American Indian/Alaska Native non-Hispanic and Asian/Pacific Islander non-Hispanic decedents. https://www.cdc.gov/nchs/data/series/sr_02/sr02_172.pdf.
†† By 2013 urbanization classification (https://www.cdc.gov/nchs/data_access/urban_rural.htm).
§§ Analyses were limited to states meeting the following criteria. For states with very good to excellent reporting, ≥90% of drug overdose deaths mention at least one specific drug in 2016, with the change in drug overdose deaths mentioning at least one specific drug differing by <10 percentage points from 2016 to 2017. States with good reporting had 80% to <90% of drug overdose deaths mention at least one specific drug in 2016, with the change in the percentage of drug overdose deaths mentioning at least one specific drug differing by <10 percentage points from 2016 to 2017. States included also were required to have stable rate estimates, based on ≥20 deaths, in at least two drug categories (i.e., opioids, prescription opioids, synthetic opioids other than methadone, and heroin).
¶¶ Absolute rate change is the difference between 2016 and 2017 rates. Percent change is the absolute rate change divided by the 2016 rate, multiplied by 100. Nonoverlapping confidence intervals based on the gamma method were used if the number of deaths was <100 in 2016 or 2017, and z-tests were used if the number of deaths was ≥100 in both 2016 and 2017.
*** Statistically significant (P-value <0.05).
Annual number and age-adjusted rate of drug overdose deaths* involving heroin and synthetic opioids other than methadone,, by sex, age, race and Hispanic origin,** urbanization level, and selected states — United States, 2016 and 2017
| Decedent characteristic | Heroin | Synthetic
opioids other than methadone | |||||||||||
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| 2016 | 2017 | Change from
2016 to 2017¶¶ | 2016 | 2017 | Change from
2016 to 2017¶¶ | ||||||||
| No. | Rate | No. | Rate | Absolute rate change | % Change in rate | No. | Rate | No. | Rate | Absolute rate change | % Change in rate | ||
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| Male | 11,752 | 7.5 | 11,596 | 7.3 | -0.2*** | -2.7*** | 13,835 | 8.9 | 20,524 | 13.0 | 4.1*** | 46.1*** | |
| Female | 3,717 | 2.4 | 3,886 | 2.5 | 0.1 | 4.2 | 5,578 | 3.5 | 7,942 | 5.0 | 1.5*** | 42.9*** | |
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| 15–24 | 1,728 | 4.0 | 1,454 | 3.4 | -0.6*** | -15.0*** | 1,958 | 4.5 | 2,655 | 6.1 | 1.6*** | 35.6*** | |
| 25–34 | 5,051 | 11.3 | 4,890 | 10.8 | -0.5*** | -4.4*** | 6,094 | 13.6 | 8,825 | 19.5 | 5.9*** | 43.4*** | |
| 35–44 | 3,625 | 9.0 | 3,713 | 9.1 | 0.1 | 1.1 | 4,825 | 11.9 | 7,084 | 17.3 | 5.4*** | 45.4*** | |
| 45–54 | 3,009 | 7.0 | 3,043 | 7.2 | 0.2 | 2.9 | 3,872 | 9.1 | 5,762 | 13.6 | 4.5*** | 49.5*** | |
| 55–64 | 1,777 | 4.3 | 2,005 | 4.8 | 0.5*** | 11.6*** | 2,238 | 5.4 | 3,481 | 8.3 | 2.9*** | 53.7*** | |
| ≥65 | 275 | 0.6 | 368 | 0.7 | 0.1*** | 16.7*** | 405 | 0.8 | 620 | 1.2 | 0.4*** | 50.0*** | |
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| Male 15–24 | 1,275 | 5.7 | 1,031 | 4.7 | -1.0*** | −17.5*** | 1,434 | 6.4 | 1,877 | 8.5 | 2.1*** | 32.8*** | |
| Male 25–44 | 6,643 | 15.5 | 6,428 | 14.8 | -0.7*** | −4.5*** | 8,029 | 18.8 | 11,693 | 27.0 | 8.2*** | 43.6*** | |
| Male 45–64 | 3,599 | 8.8 | 3,830 | 9.3 | 0.5*** | 5.7*** | 4,116 | 10.0 | 6,524 | 15.8 | 5.8*** | 58.0*** | |
| Female 15–24 | 453 | 2.1 | 423 | 2.0 | -0.1 | −4.8 | 524 | 2.5 | 778 | 3.7 | 1.2*** | 48.0*** | |
| Female 25–44 | 2,033 | 4.8 | 2,175 | 5.1 | 0.3*** | 6.3*** | 2,890 | 6.8 | 4,216 | 9.8 | 3.0*** | 44.1*** | |
| Female 45–64 | 1,187 | 2.8 | 1,218 | 2.8 | 0.0 | 0.0 | 1,994 | 4.6 | 2,719 | 6.3 | 1.7*** | 37.0*** | |
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| White, non-Hispanic | 11,631 | 6.3 | 11,293 | 6.1 | -0.2*** | −3.2*** | 15,143 | 8.2 | 21,956 | 11.9 | 3.7*** | 45.1*** | |
| Black, non-Hispanic | 1,899 | 4.5 | 2,140 | 4.9 | 0.4*** | 8.9*** | 2,391 | 5.6 | 3,832 | 9.0 | 3.4*** | 60.7*** | |
| Hispanic | 1,555 | 2.8 | 1,669 | 2.9 | 0.1 | 3.6 | 1,505 | 2.7 | 2,152 | 3.7 | 1.0*** | 37.0*** | |
| American Indian/Alaska Native,
non-Hispanic | 131 | 5.0 | 136 | 5.2 | 0.2 | 4.0 | 113 | 4.1 | 171 | 6.5 | 2.4*** | 58.5*** | |
| Asian/Pacific Islander,
non-Hispanic | 102 | 0.5 | 119 | 0.5 | 0.0 | 0.0 | 134 | 0.6 | 189 | 0.8 | 0.2*** | 33.3*** | |
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| Large central metro | 5,507 | 5.3 | 5,820 | 5.6 | 0.3*** | 5.7*** | 6,009 | 5.8 | 8,511 | 8.2 | 2.4*** | 41.4*** | |
| Large fringe metro | 4,623 | 6.1 | 4,526 | 5.8 | -0.3*** | -4.9*** | 6,264 | 8.2 | 8,991 | 11.6 | 3.4*** | 41.5*** | |
| Medium metro | 3,077 | 4.9 | 2,973 | 4.6 | -0.3*** | -6.1*** | 3,978 | 6.3 | 6,254 | 9.8 | 3.5*** | 55.6*** | |
| Small metro | 990 | 3.7 | 972 | 3.6 | -0.1 | -2.7 | 1,270 | 4.7 | 1,878 | 7.0 | 2.3*** | 48.9*** | |
| Micropolitan (nonmetro) | 860 | 3.6 | 801 | 3.3 | -0.3 | -8.3 | 1,228 | 5.0 | 1,860 | 7.7 | 2.7*** | 54.0*** | |
| Noncore (nonmetro) | 412 | 2.6 | 390 | 2.4 | -0.2 | -7.7 | 664 | 4.1 | 972 | 6.0 | 1.9*** | 46.3*** | |
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| Alaska | 49 | 6.5 | 36 | 4.9 | -1.6 | -24.6 |
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| Connecticut | 450 | 13.1 | 425 | 12.4 | -0.7 | -5.3 | 500 | 14.8 | 686 | 20.3 | 5.5*** | 37.2*** | |
| District of Columbia | 122 | 17.3 | 127 | 18.0 | 0.7 | 4.0 | 129 | 19.2 | 182 | 25.7 | 6.5*** | 33.9*** | |
| Georgia | 226 | 2.2 | 263 | 2.6 | 0.4 | 18.2 | 277 | 2.7 | 419 | 4.1 | 1.4*** | 51.9*** | |
| Hawaii | 20 | 1.4 | 10 |
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| Illinois | 1,040 | 8.2 | 1,187 | 9.2 | 1.0*** | 12.2*** | 907 | 7.2 | 1,251 | 9.8 | 2.6*** | 36.1*** | |
| Iowa | 47 | 1.7 | 61 | 2.1 | 0.4 | 23.5 | 58 | 2.0 | 92 | 3.2 | 1.2¶¶ | 60.0¶¶ | |
| Maine | 55 | 4.7 | 76 | 6.2 | 1.5 | 31.9 | 199 | 17.3 | 278 | 23.5 | 6.2*** | 35.8*** | |
| Maryland | 650 | 10.7 | 522 | 8.6 | -2.1*** | -19.6*** | 1,091 | 17.8 | 1,542 | 25.2 | 7.4*** | 41.6*** | |
| Massachusetts | 630 | 9.5 | 466 | 7.0 | -2.5*** | -26.3*** | 1,550 | 23.5 | 1,649 | 24.5 | 1.0 | 4.3 | |
| Nevada | 86 | 2.9 | 94 | 3.1 | 0.2 | 6.9 | 53 | 1.7 | 66 | 2.2 | 0.5 | 29.4 | |
| New Hampshire | 34 | 2.8 | 28 | 2.4 | -0.4 | -14.3 | 363 | 30.3 | 374 | 30.4 | 0.1 | 0.3 | |
| New Mexico | 161 | 8.2 | 144 | 7.4 | -0.8 | -9.8 | 78 | 4.0 | 75 | 3.7 | -0.3 | -7.5 | |
| New York | 1,307 | 6.5 | 1,356 | 6.8 | 0.3 | 4.6 | 1,641 | 8.3 | 2,238 | 11.3 | 3.0*** | 36.1*** | |
| North Carolina | 544 | 5.7 | 537 | 5.6 | -0.1 | -1.8 | 601 | 6.2 | 1,285 | 13.2 | 7.0*** | 112.9*** | |
| Ohio | 1,478 | 13.5 | 1,000 | 9.2 | -4.3*** | -31.9*** | 2,296 | 21.1 | 3,523 | 32.4 | 11.3*** | 53.6*** | |
| Oklahoma | 53 | 1.4 | 61 | 1.6 | 0.2 | 14.3 | 98 | 2.5 | 102 | 2.6 | 0.1 | 4.0 | |
| Oregon | 114 | 2.9 | 124 | 3.0 | 0.1 | 3.4 | 43 | 1.1 | 85 | 2.1 | 1.0*** | 90.9*** | |
| Rhode Island | 25 | 2.5 | 14 |
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| 182 | 17.8 | 201 | 20.1 | 2.3 | 12.9 | |
| South Carolina | 115 | 2.5 | 153 | 3.2 | 0.7 | 28.0 | 237 | 5.0 | 404 | 8.5 | 3.5*** | 70.0*** | |
| Tennessee | 260 | 4.1 | 311 | 4.8 | 0.7 | 17.1 | 395 | 6.2 | 590 | 9.3 | 3.1*** | 50.0*** | |
| Utah | 166 | 5.6 | 147 | 4.8 | -0.8 | -14.3 | 72 | 2.5 | 92 | 3.1 | 0.6 | 24.0 | |
| Vermont | 45 | 8.7 | 41 | 7.3 | -1.4 | -16.1 | 53 | 10.1 | 77 | 13.8 | 3.7 | 36.6 | |
| Virginia | 450 | 5.5 | 556 | 6.7 | 1.2*** | 21.8*** | 648 | 7.9 | 829 | 10.0 | 2.1*** | 26.6*** | |
| Washington | 283 | 3.9 | 306 | 4.0 | 0.1 | 2.6 | 93 | 1.3 | 143 | 1.9 | 0.6*** | 46.2*** | |
| West Virginia | 235 | 14.9 | 244 | 14.9 | 0.0 | 0.0 | 435 | 26.3 | 618 | 37.4 | 11.1*** | 42.2*** | |
| Wisconsin | 389 | 7.3 | 414 | 7.8 | 0.5 | 6.8 | 288 | 5.3 | 466 | 8.6 | 3.3*** | 62.3*** | |
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| Arizona | 299 | 4.5 | 334 | 5.0 | 0.5 | 11.1 | 123 | 1.8 | 267 | 4.0 | 2.2*** | 122.2*** | |
| California | 587 | 1.4 | 715 | 1.7 | 0.3*** | 21.4*** | 355 | 0.9 | 536 | 1.3 | 0.4*** | 44.4*** | |
| Colorado | 234 | 4.2 | 224 | 3.9 | -0.3 | -7.1 | 72 | 1.3 | 112 | 2.0 | 0.7*** | 53.8*** | |
| Kentucky | 311 | 7.6 | 269 | 6.6 | -1.0 | -13.2 | 465 | 11.5 | 780 | 19.1 | 7.6*** | 66.1*** | |
| Michigan | 727 | 7.6 | 783 | 8.2 | 0.6 | 7.9 | 921 | 9.8 | 1,368 | 14.4 | 4.6*** | 46.9*** | |
| Minnesota | 149 | 2.8 | 111 | 2.0 | -0.8*** | -28.6*** | 99 | 1.9 | 184 | 3.5 | 1.6*** | 84.2*** | |
| Missouri | 380 | 6.7 | 299 | 5.3 | -1.4*** | -20.9*** | 441 | 7.8 | 618 | 10.9 | 3.1*** | 39.7*** | |
| Texas | 530 | 1.9 | 569 | 2.0 | 0.1 | 5.3 | 250 | 0.9 | 348 | 1.2 | 0.3*** | 33.3*** | |
Source: National Vital Statistics System, Mortality file.
* Deaths are classified using the International Classification of Diseases, Tenth Revision (ICD–10). Drug overdose deaths are identified using underlying cause-of-death codes X40–X44, X60–X64, X85, and Y10–Y14. Rates are age-adjusted using the direct method and the 2000 U.S. standard population, except for age-specific crude rates. All rates are per 100,000 population.
† Drug overdose deaths, as defined, that have heroin (T40.1) as a contributing cause.
§ Drug overdose deaths, as defined, that have semisynthetic opioids other than methadone (T40.4) as a contributing cause.
¶ Categories of deaths are not exclusive as deaths might involve more than one drug. Summing of categories will result in more than the total number of deaths in a year.
** Data on Hispanic origin should be interpreted with caution; studies comparing Hispanic origin on death certificates and on census surveys have shown inconsistent reporting on Hispanic ethnicity. Potential race misclassification might lead to underestimates for certain categories, primarily American Indian/Alaska Native non-Hispanic and Asian/Pacific Islander non-Hispanic decedents. https://www.cdc.gov/nchs/data/series/sr_02/sr02_172.pdf.
†† By 2013 urbanization classification (https://www.cdc.gov/nchs/data_access/urban_rural.htm).
§§ Analyses were limited to states meeting the following criteria. For states with very good to excellent reporting, ≥90% of drug overdose deaths mention at least one specific drug in 2016, with the change in drug overdose deaths mentioning at least one specific drug differing by <10 percentage points from 2016 to 2017. States with good reporting had 80% to <90% of drug overdose deaths mention at least one specific drug in 2016, with the change in the percentage of drug overdose deaths mentioning at least one specific drug differing by <10 percentage points from 2016 to 2017. States included also were required to have stable rate estimates, based on ≥20 deaths, in at least two drug categories (i.e., opioids, prescription opioids, synthetic opioids other than methadone, and heroin).
¶¶ Absolute rate change is the difference between 2016 and 2017 rates. Percent change is the absolute rate change divided by the 2016 rate, multiplied by 100. Nonoverlapping confidence intervals based on the gamma method were used if the number of deaths was <100 in 2016 or 2017, and z-tests were used if the number of deaths was ≥100 in both 2016 and 2017. Note that the method of comparing confidence intervals is a conservative method for statistical significance; caution should be observed when interpreting a nonsignificant difference when the lower and upper limits being compared overlap only slightly. Confidence intervals of 2016 and 2017 rates of synthetic opioid-involved deaths in Iowa overlapped only slightly: (1.40, 2.39), (2.36, 3.59).
*** Statistically significant (P-value <0.05).
††† Cells with ≤9 deaths are not reported. Rates based on <20 deaths are not considered reliable and are not reported.
FIGUREAge-adjusted rates* of drug overdose deaths and deaths involving synthetic opioids other than methadone, by state — United States, 2013 and 2017
* Rates shown are the number of deaths per 100,000 population. Age-adjusted death rates were calculated by applying age-specific death rates to the 2000 U.S. standard population age distribution.
† Deaths are classified using the International Classification of Diseases, Tenth Revision (ICD–10). Left panel includes drug overdose deaths identified using underlying cause-of-death codes X40–X44, X60–X64, X85, and Y10–Y14. Right panel includes drug overdose deaths, as defined, that have synthetic opioids other than methadone (T40.4) as a contributing cause.
§ State-level analyses of overdose rates for deaths involving synthetic opioids other than methadone included 20 states that met the following criteria: 1) >80% of drug overdose death certificates named at least one specific drug in 2013–2017; 2) change from 2013 to 2017 in the percentage of death certificates reporting at least one specific drug was <10 percentage points; and 3) ≥20 deaths involving synthetic opioids other than methadone occurred each year during 2013–2017. States whose reporting of any specific drug or drugs involved in an overdose changed by ≥10 percentage points from 2013 to 2017 were excluded because drug-specific overdose numbers and rates might have changed substantially from 2013 to 2017 as a result of changes in reporting.
¶ Left panel: Joinpoint regression examining changes in trends from 2013 to 2017 indicated that 35 states and the District of Columbia had significant increases in drug overdose death rates from 2013 to 2017 (Alabama, Alaska, Arizona, Arkansas, Connecticut, Delaware, District of Columbia, Florida, Georgia, Hawaii, Illinois, Indiana, Iowa, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, New Jersey, New York, North Carolina, Ohio, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Vermont, Virginia, Washington, West Virginia, and Wisconsin). All remaining states had nonsignificant trends during this period. Right panel: Joinpoint regression examining changes in trends from 2013 to 2017 indicated that 15 states had significant increases in death rates for overdoses involving synthetic opioids other than methadone from 2013 to 2017 (Connecticut, Illinois, Iowa, Maine, Maryland, Minnesota, Nevada, New York, North Carolina, Oregon, Rhode Island, Virginia, Washington, West Virginia, and Wisconsin). The five remaining states analyzed had nonsignificant trends during this period. Significant increases in trends were not detected in some states with large absolute increases in death rates from 2013 to 2017 because of limited power to detect significant effects.