Literature DB >> 30605448

Drug and Opioid-Involved Overdose Deaths - United States, 2013-2017.

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:  

Mesh:

Substances:

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


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 (). 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) (). Since 2013, driven largely by IMF, including fentanyl analogs (–), 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 (). 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 (,). 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 (), 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 characteristicAll opioids
Prescription opioids
2016
2017
Change from 2016 to 2017¶¶
2016
2017
Change from 2016 to 2017¶¶
No.RateNo.RateAbsolute rate change% Change in rateNo.RateNo.RateAbsolute 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
Texas1,3754.91,4585.10.24.16172.26462.30.14.5

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 characteristicHeroin
Synthetic opioids other than methadone
2016
2017
Change from 2016 to 2017¶¶
2016
2017
Change from 2016 to 2017¶¶
No.RateNo.RateAbsolute rate change% Change in rateNo.Rate
No.RateAbsolute 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***
Texas5301.95692.00.15.3250
0.93481.20.3***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.

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). 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. 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. 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 (,). Overall, the overdose epidemic continues to worsen, and it has grown increasingly complex by co-involvement of prescription and illicit drugs (,). 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 (). 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 (), 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.

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.
  10 in total

1.  Increases from 2002 to 2015 in prescription opioid overdose deaths in combination with other substances.

Authors:  Denise B Kandel; Mei-Chen Hu; Pamela Griesler; Melanie Wall
Journal:  Drug Alcohol Depend       Date:  2017-07-04       Impact factor: 4.492

2.  Quantifying the Epidemic of Prescription Opioid Overdose Deaths.

Authors:  Puja Seth; Rose A Rudd; Rita K Noonan; Tamara M Haegerich
Journal:  Am J Public Health       Date:  2018-04       Impact factor: 9.308

3.  Changes in Synthetic Opioid Involvement in Drug Overdose Deaths in the United States, 2010-2016.

Authors:  Christopher M Jones; Emily B Einstein; Wilson M Compton
Journal:  JAMA       Date:  2018-05-01       Impact factor: 56.272

4.  Recent Increases in Cocaine-Related Overdose Deaths and the Role of Opioids.

Authors:  Christopher McCall Jones; Grant T Baldwin; Wilson M Compton
Journal:  Am J Public Health       Date:  2017-03       Impact factor: 9.308

5.  Fentanyl Law Enforcement Submissions and Increases in Synthetic Opioid-Involved Overdose Deaths - 27 States, 2013-2014.

Authors:  R Matthew Gladden; Pedro Martinez; Puja Seth
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2016-08-26       Impact factor: 17.586

6.  Complete republication: National Association of Medical Examiners position paper: Recommendations for the investigation, diagnosis, and certification of deaths related to opioid drugs.

Authors:  Gregory G Davis
Journal:  J Med Toxicol       Date:  2014-03

7.  Deaths Involving Fentanyl, Fentanyl Analogs, and U-47700 - 10 States, July-December 2016.

Authors:  Julie K O'Donnell; John Halpin; Christine L Mattson; Bruce A Goldberger; R Matthew Gladden
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2017-11-03       Impact factor: 17.586

8.  Overdose Deaths Involving Opioids, Cocaine, and Psychostimulants - United States, 2015-2016.

Authors:  Puja Seth; Lawrence Scholl; Rose A Rudd; Sarah Bacon
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2018-03-30       Impact factor: 17.586

9.  Trends in Deaths Involving Heroin and Synthetic Opioids Excluding Methadone, and Law Enforcement Drug Product Reports, by Census Region - United States, 2006-2015.

Authors:  Julie K O'Donnell; R Matthew Gladden; Puja Seth
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2017-09-01       Impact factor: 17.586

10.  Opportunities to Prevent Overdose Deaths Involving Prescription and Illicit Opioids, 11 States, July 2016-June 2017.

Authors:  Christine L Mattson; Julie O'Donnell; Mbabazi Kariisa; Puja Seth; Lawrence Scholl; R Matthew Gladden
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2018-08-31       Impact factor: 17.586

  10 in total
  563 in total

1.  Quantifying enhanced risk from alcohol and other factors in polysubstance-related deaths.

Authors:  Zheng Dai; Marie A Abate; D Leann Long; Gordon S Smith; Theresa M Halki; James C Kraner; Allen R Mock
Journal:  Forensic Sci Int       Date:  2020-05-31       Impact factor: 2.395

2.  Integrated Behavioral Treatment for Veterans With Co-Morbid Chronic Pain and Hazardous Opioid Use: A Randomized Controlled Pilot Trial.

Authors:  Kevin E Vowles; Katie Witkiewitz; Karen J Cusack; Wesley P Gilliam; Karen E Cardon; Sarah Bowen; Karlyn A Edwards; Mindy L McEntee; Robert W Bailey
Journal:  J Pain       Date:  2019-11-21       Impact factor: 5.820

3.  Life Expectancy and Mortality Rates in the United States, 1959-2017.

Authors:  Steven H Woolf; Heidi Schoomaker
Journal:  JAMA       Date:  2019-11-26       Impact factor: 56.272

Review 4.  A Comprehensive Update on the Treatment and Management of Postdural Puncture Headache.

Authors:  Riki Patel; Ivan Urits; Vwaire Orhurhu; Mariam Salisu Orhurhu; Jacquelin Peck; Emmanuel Ohuabunwa; Andrew Sikorski; Armeen Mehrabani; Laxmaiah Manchikanti; Alan D Kaye; Rachel J Kaye; John A Helmstetter; Omar Viswanath
Journal:  Curr Pain Headache Rep       Date:  2020-04-22

5.  Leveraging black-market street buprenorphine pricing to increase capacity to treat opioid addiction, 2010-2018.

Authors:  Yulin Hswen; Amanda Zhang; John S Brownstein
Journal:  Prev Med       Date:  2020-04-27       Impact factor: 4.018

6.  A Rapid Review of the Impact of Systems-Level Policies and Interventions on Population-Level Outcomes Related to the Opioid Epidemic, United States and Canada, 2014-2018.

Authors:  Bahareh Ansari; Katherine M Tote; Eli S Rosenberg; Erika G Martin
Journal:  Public Health Rep       Date:  2020 Jul/Aug       Impact factor: 2.792

7.  Laws Mandating Coprescription of Naloxone and Their Impact on Naloxone Prescription in Five US States, 2014-2018.

Authors:  Traci C Green; Corey Davis; Ziming Xuan; Alexander Y Walley; Jeffrey Bratberg
Journal:  Am J Public Health       Date:  2020-04-16       Impact factor: 9.308

8.  Trends in Abstinence and Retention Associated with a Medication-Assisted Treatment Program for People with Opioid Use Disorders.

Authors:  Kimberly D Brunisholz; Andrew J Knighton; Amulya Sharma; Lisa Nichols; Kristen Reisig; Jed Burton; Debbie Scovill; Carolyn Tometich; Mark Foote; Shelly Read; Scott Whittle
Journal:  Prog Community Health Partnersh       Date:  2020

9.  "Bed Bugs and Beyond": An ethnographic analysis of North America's first women-only supervised drug consumption site.

Authors:  Jade Boyd; Jennifer Lavalley; Sandra Czechaczek; Samara Mayer; Thomas Kerr; Lisa Maher; Ryan McNeil
Journal:  Int J Drug Policy       Date:  2020-04-02

10.  Waking Up from Dreamland: Opioid Addiction Precipitance and Support for Redistributive Drug Treatment.

Authors:  David Chavanne; Kimberly Goodyear
Journal:  J Drug Policy Anal       Date:  2020-05-18
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