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.
Drug overdose deaths were identified in the National Vital Statistics System multiple
cause-of-death mortality files,
¶
with death certificate data coded using the International Classification
of Diseases, Tenth Revision (ICD-10) codes X40–44 (unintentional),
X60–64 (suicide), X85 (homicide), or Y10–Y14 (undetermined intent). Among
deaths with drug overdose as the underlying cause, the type of drug or drug category
is
indicated by the following ICD-10 multiple cause-of-death codes: opioids (T40.0, T40.1,
T40.2, T40.3, T40.4, or T40.6)**;
natural/semisynthetic opioids (T40.2); methadone (T40.3); heroin (T40.1); synthetic
opioids other than methadone (T40.4); cocaine (T40.5); and psychostimulants with abuse
potential (T43.6).
††
Some
deaths involved more than one type of drug, and these were included in rates for each
drug category; thus, categories are not mutually exclusive.
§§
Annual percent change with statistically significant trends in age-adjusted drug overdose
death rates
¶¶
for all 50
states and DC from 2013 to 2017 and in age-adjusted death rates involving synthetic
opioids for 20 states that met drug specificity criteria*** were analyzed using Joinpoint
regression.
†††
Age-adjusted overdose death rates
were examined from 2016 to 2017 for all opioids, prescription opioids (
5
), heroin, and synthetic opioids.
Death rates were stratified by age, sex, racial/ethnic group, urbanization level,
§§§
and state.
State-level analyses included DC and 34 states with adequate drug specificity data
for
2016 and 2017.
¶¶¶
Analyses comparing changes in death rates from 2016 to 2017 used z-tests when the
number
of deaths was ≥100 and nonoverlapping confidence intervals based on a gamma
distribution when the number was <100.****
Drug overdoses resulted in 70,237 deaths during 2017; among these, 47,600 (67.8%)
involved opioids (14.9 per 100,000 population), representing a 12.0% rate increase
from
2016 (Table 1). Synthetic opioids were involved
in 59.8% of all opioid-involved overdose deaths; the rate increased by 45.2% from
2016
to 2017 (Table 2). From 2013 through 2017,
overdose death rates increased significantly in 35 states and DC; 15 of 20 states
that
met drug specificity criteria had significant increases in overdose death rates
involving synthetic opioids (Figure). From 2016 to
2017, death rates involving cocaine and psychostimulants increased 34.4% (from 3.2
to
4.3 per 100,000) and 33.3% (from 2.4 to 3.2 per 100,000), respectively, likely
contributing to increases in drug overdose deaths; however, rates remained stable
for
deaths involving prescription opioids (5.2 per 100,000) (Table 1) and heroin (4.9)
(Table
2).
TABLE 1
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
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
All
42,249
13.3
47,600
14.9
1.6***
12.0***
17,087
5.2
17,029
5.2
0.0
0.0
Sex
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
Age group
(yrs)
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***
Sex and age
group (yrs)
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
Race and
Hispanic origin**
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
County
urbanization level††
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
Selected
states§§
States with
very good to excellent reporting (n = 27)
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
States with
good reporting (n = 8)
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).
TABLE 2
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
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
All
15,469
4.9
15,482
4.9
0.0
0.0
19,413
6.2
28,466
9.0
2.8***
45.2***
Sex
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***
Age group
(yrs)
0–14
†††
†††
†††
†††
†††
†††
18
†††
33
0.1
†††
†††
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***
Sex and age
group (yrs)
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***
Race and
Hispanic origin**
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***
County
urbanization level††
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***
Selected
states§§
States with
very good to excellent reporting (n = 27)
Alaska
49
6.5
36
4.9
-1.6
-24.6
†††
†††
37
4.9
†††
†††
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
†††
†††
†††
†††
†††
†††
†††
†††
†††
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
†††
†††
†††
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***
States with
good reporting (n = 8)
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.
FIGURE
Age-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.
The figure shows age-adjusted rates of drug overdose deaths and deaths
involving synthetic opioids other than methadone, by state in the United States
during 2013 and 2017.
From 2016 to 2017, opioid-involved overdose deaths increased among males and females
and
among persons aged ≥25 years, non-Hispanic whites (whites), non-Hispanic blacks
(blacks), and Hispanics (Table 1). The largest
relative change occurred among blacks (25.2%), and the largest absolute rate increase
was among males aged 25–44 years (an increase of 4.6 per 100,000). The largest
relative change among age groups was for persons aged ≥65 years (17.2%). Counties
in medium metro areas experienced the largest absolute rate increase (an increase
of 1.9
per 100,000), and the largest relative rate increase occurred in micropolitan counties
(14.9%). Death rates increased significantly in 15 states, with the largest relative
changes in North Carolina (28.6%), Ohio (19.1%), and Maine (18.7%).
From 2016 to 2017, the prescription opioid-involved death rate decreased 13.2% among
males aged 15–24 years but increased 10.5% among persons aged ≥65 years
(Table 1). These death rates remained stable
from 2016 to 2017 across all racial groups and urbanization levels and in most states,
although five states (Maine, Maryland, Oklahoma, Tennessee, and Washington) experienced
significant decreases, and one (Illinois) had a significant increase. The largest
relative changes included a 29.7% increase in Illinois and a 39.2% decrease in Maine.
The highest prescription opioid-involved death rates in 2017 were in West Virginia
(17.2
per 100,000), Maryland (11.5), and Utah (10.8).
Heroin-involved overdose death rates declined among many groups in 2017 compared with
those in 2016 (Table 2). The largest declines
occurred among persons aged 15–24 years (15.0%), particularly males (17.5%), as
well as in medium metro counties (6.1%). Rates declined 3.2% among whites. However,
heroin-involved overdose death rates did increase among some groups; the largest
relative rate increase occurred among persons aged ≥65 years (16.7%) and
55–64 years (11.6%) and among blacks (8.9%). Rates remained stable in most
states, with significant decreases in five states (Maryland, Massachusetts, Minnesota,
Missouri, and Ohio), and increases in three (California, Illinois, and Virginia).
The
largest relative decrease (31.9%) was in Ohio, and the largest relative increase (21.8%)
was in Virginia. The highest heroin-involved overdose death rates in 2017 were in
DC
(18.0 per 100,000), West Virginia (14.9), and Connecticut (12.4).
Deaths involving synthetic opioids propelled increases from 2016 to 2017 across all
demographic categories (Table 2). The highest
death rate was in males aged 25–44 years (27.0 per 100,000), and the largest
relative increases occurred among blacks (60.7%) and American Indian/Alaska Natives
(58.5%). Deaths increased across all urbanization levels from 2016 to 2017. Twenty-three
states and DC experienced significant increases in synthetic opioid-involved overdose
death rates, including eight states west of the Mississippi River. The largest relative
rate increase occurred in Arizona (122.2%), followed by North Carolina (112.9%) and
Oregon (90.9%). The highest synthetic opioid-involved overdose death rates in 2017
were
in West Virginia (37.4 per 100,000), Ohio (32.4), and New Hampshire (30.4).
Discussion
In the United States, drug overdoses resulted in 702,568 deaths during
1999–2017, with 399,230 (56.8%) involving opioids.
††††
From 2016 to 2017,
death rates from all opioids increased, with increases driven by synthetic opioids.
Deaths involving IMF have been seen primarily east of the Mississippi River;
§§§§
however, recent increases occurred in eight states west of the Mississippi River,
including Arizona, California, Colorado, Minnesota, Missouri, Oregon, Texas, and
Washington.
Drug overdose death rates from 2013 to 2017 increased in most states; the influence
of synthetic opioids on these rate increases was seen in approximately one quarter
of all states during this same 5-year period. Overdose deaths involving cocaine and
psychostimulants also have increased in recent years (
1
,
6
). Overall, the overdose epidemic continues to
worsen, and it has grown increasingly complex by co-involvement of prescription and
illicit drugs (
7
,
8
).
¶¶¶¶
For example, in 2016,
synthetic opioids (primarily IMF) were involved in 23.7% of deaths involving
prescription opioids, 37.4% involving heroin, and 40.3% involving cocaine (
9
). In addition, death rates
are increasing across multiple demographic groups. For example, although death rates
involving opioids remained highest among whites, relatively large increases across
several drug categories were observed among blacks.
The findings in this report are subject to at least five limitations. First, at
autopsy, substances tested for vary by time and jurisdiction, and improvements in
toxicologic testing might account for some reported increases. Second, the specific
types of drugs involved were not included on 15% of drug overdose death certificates
in 2016 and 12% in 2017, and the percentage of death certificates with at least one
drug specified ranged among states from 54.7%–99.3% in 2017, limiting rate
comparisons between states. Third, because heroin and morphine are metabolized
similarly (
10
), some heroin
deaths might have been misclassified as morphine deaths, resulting in underreporting
of heroin deaths. Fourth, potential race misclassification might have led to
underestimates for certain categories, primarily for American Indian/Alaska Natives
and Asian/Pacific Islanders.***** Finally,
most state-specific analyses were restricted to DC and a subset of states with
adequate drug specificity, limiting generalizability.
Through 2017, the drug overdose epidemic continues to worsen and evolve, and the
involvement of many types of drugs (e.g., opioids, cocaine, and methamphetamine)
underscores the urgency to obtain more timely and local data to inform public health
and public safety action. Although prescription opioid- and heroin-involved death
rates were stable from 2016 to 2017, they remained high. Some preliminary indicators
in 2018 point to possible improvements based on provisional data;
†††††
however,
confirmation will depend on results of pending medical investigations and analysis
of final data. Overall, deaths involving synthetic opioids continue to drive
increases in overdose deaths. CDC funds 32 states and DC to collect more timely and
comprehensive drug overdose data, including improved toxicologic testing in
opioid-involved fatal overdoses.
§§§§§
CDC is funding prevention activities in 42 states and DC.
¶¶¶¶¶
CDC also
is leveraging emergency funding to support 49 states, DC, and four territories to
broaden their surveillance and response capabilities and enable comprehensive
community-level responses with implementation of novel, evidence-based
interventions.****** Continued efforts to
ensure safe prescribing practices by following the CDC Guideline for Prescribing
Opioids for Chronic Pain
††††††
are
enhanced by access to nonopioid and nonpharmacologic treatments for pain. Other
important activities include increasing naloxone availability, expanding access to
medication-assisted treatment, enhancing public health and public safety
partnerships, and maximizing the ability of health systems to link persons to
treatment and harm-reduction services.
Summary
What is already known about this topic?
The U.S. opioid overdose epidemic continues to evolve. In 2016, 66.4% of the
63,632 drug overdose deaths involved an opioid.
What is added by this report?
In 2017, among 70,237 drug overdose deaths, 47,600 (67.8%) involved opioids,
with increases across age groups, racial/ethnic groups, county urbanization
levels, and in multiple states. From 2013 to 2017, synthetic opioids
contributed to increases in drug overdose death rates in several states.
From 2016 to 2017, synthetic opioid-involved overdose death rates increased
45.2%.
What are the implications for public health practice?
Continued federal, state, and local surveillance efforts to inform
evidence-based prevention, response, and treatment strategies and to
strengthen public health and public safety partnerships are urgently
needed.