Prescription opioid pain reliever overdose is a major public health issue in the United States. To characterize the location of drug-related deaths, we examined fatal prescription opioid and illicit drug-related deaths reported in 12 states.
Data are from the Substance Abuse and Mental Health Services Administration's Drug Abuse Warning Network (DAWN). Medical examiners or coroners in 12 states (MA, MD, ME, NH, NM, OK, OR, RI, UT, VA, VT, WV) reported details of state-wide drug-related mortality during 2008–2010. DAWN data included location and manner of death, age, race, and drugs involved. Deaths were coded into three categories: prescription opioid-related, illicit drug-related, and cases that involved both a prescription opioid and an illicit drug.
During a 3-year period, there were 14,091 opioid or illicit drug-related deaths in 12 states. More than half of the prescription opioid-related deaths in all states, except Maryland, occurred at home, rather than in public or in a health care facility. Although it was still the predominant category, lower percentages of illicit drug-related deaths occurred at home.
Prescription opioid overdoses have increased substantially, and the location of the person at the time of death can have important public health implications for interventions.
This paper highlights that bystander support can be a critical lifesaving factor in drug related deaths but may be more likely for illicit drug-related deaths than for prescription opioid-related deaths.
Drug overdoses are a major public health issue in the United States (
The location of drug use, the presence of others at the scene, and the actions of bystanders (e.g., calling for help) could determine whether an overdose becomes a fatality (
There are differences in the population at highest risk of a prescription OPR overdose compared with those at highest risk of an illicit drug overdose (
The Substance Abuse and Mental Health Services Administration's (SAMHSA) public health surveillance system, the Drug Abuse Warning Network (DAWN), collected data on deaths investigated by participating medical examiners/coroners (ME/C) in selected states and metropolitan areas, which CDC received via special request to SAMHSA. The ME/C investigations included information gathered from crime scene reports, police reports, interviews with family and friends, and autopsy reports, including drug toxicology. DAWN cases were identified through a retrospective review of decedent case files in each participating death investigation jurisdiction. The completed investigation records were reviewed by a trained abstractor and data were submitted electronically to SAMHSA (
Deaths involving prescription OPR
Location of death in the DAWN ME/C data set was initially coded by abstractors into one of six categories: (1) decedent's home (i.e., owned or leased, or long-term care facility); (2) emergency room (ER); (3) other health care facility (i.e., drug treatment); (4) public place; (5) other private location (i.e., hotel or motel) or car; or (6) unknown. The abstractors were given instructions to select
During a 3-year period (2008–2010), 14,091 prescription OPR or illicit drug-related deaths occurred in 12 states at home (55.7%), at emergency room or health care facilities (27.8%), or in other or missing (16.5%) locations. The majority of the deaths (78.9%) were prescription OPR drug-related, either without illicit drugs (63.4%), or in combination with illicit drugs (15.4%).
There were similar patterns for location of death among white and Hispanic decedents in all three drug categories (
Overall, 61.3% of the prescription OPR-related deaths occurred at home, 25.3% in an ER or health care facility, and 13.4% in another location (
This study characterized drug-related deaths by state, age, race or ethnicity, manner of death, and location of death to help guide overdose prevention efforts. Among whites and Hispanics, for all three drug categories, the largest percentage of decedents died at home. The overall percent-age of deaths occurring in public or unknown places was low. In every state except Utah, a higher percentage of illicit drug-related deaths than prescription OPR-related deaths occurred in an ER or health care facility. In all but one state (Maryland), the majority (>50%) of prescription OPR-related deaths happened at home. Black decedents (for prescription OPR and illicit drug categories) and those aged younger than 20 years (illicit and combination drugs) were also more likely to die within an ER or other health care facility.
The pharmacokinetics of opioids vary by drug and can vary even within a drug depending on route of administration (e.g., injection vs. oral administration). Death may occur rapidly depending upon potency and route of administration. Because users of illicit drugs often inject where they buy drugs, and signs of distress may appear rapidly, other users or strangers may notice that a victim is in distress. These other users, however, often do not call 911 for help, perhaps fearing police intervention (
The percentage of prescription OPR-related deaths occurring at home generally increased with age, rising to more than two-thirds among those aged 50 years or older. Age and residential status are closely related, perhaps decreasing the chance of overdose witnesses as age increases. In the United States in 2013, 15% of those younger than 20 years and 21.5% of those aged 45–54 years or older lived alone (
This study has several limitations. We were unable to distinguish between decedents who had a prescription for an OPR and those who acquired them in other ways. Further, the data do not indicate the location where the drug was taken, the amount consumed, whether bystanders were present in the home, or whether bystanders (e.g., family or housemates) knew the drug(s) were taken. These five pieces of information would greatly enhance the ability to understand the circumstances of the fatal event. Given increasing public awareness about naloxone and increased access to it in the United States, it would also be useful to know whether anyone in a household had access to it.
In addition, assigning responsibility to one drug in multidrug deaths is a challenge. Non-opioid prescription drugs were also reported by ME/Cs (e.g., alprazolam, diazepam, benzodiazepines), and they were sometimes taken in combination with prescription opioids, but not in sufficient quantity to present as a separate analytic category. Thus, any of the cases coded into the three drug categories used in this analysis (prescription opioids, illicit drugs, prescription opioids, and illicit drugs) could have involved other prescription, illicit, or over the counter drugs. The drugs involved in deaths might not all have been identified and documented. DAWN ME/C does not rely on a statistical sampling of MEs, and findings cannot be considered representative of ME/Cs who did not participate, and results cannot be extrapolated to the entire United States (
Consideration of home-based interventions for prescription OPR pain reliever overdoses is a prudent public health strategy. On-site interventions, such as naloxone administration, rescue breathing, or calling 911, are clearly most useful when someone is there to administer them (
Patients and physicians can also take steps to reduce prescription OPR overdose deaths. Patients need to discuss all medications they are taking with their health care provider, use prescription drugs only as directed, store them in a secure place, and get help for substance abuse problems (National Treatment Referral Helpline 1-800-662-HELP [4357]). Physicians can discuss all pain treatment options, including ones that do not involve prescription drugs, as well as the risks and benefits of taking prescription painkillers. Physicians can follow guidelines for prescribing painkillers responsibly (
The authors would like to acknowledge Rong Cai, M.A., Substance Abuse and Mental Health Services Administration (SAMHSA) Center for Behavioral Health Statistics and Quality (CBHSQ) for her efforts in support of quality checks on the data and analyses.
All work for this manuscript was done by federal employees, and none of the authors had conflicts of interest.
Disclaimer: The findings and conclusions in this manuscript are those of the authors and do not necessarily represent the views of the Centers for Disease Control and Prevention or the U.S. Department of Health and Human Services.
The Journal of Safety Research has partnered with the Office of the Associate Director for Science, Division of Unintentional Injury Prevention in the National Center for Injury Prevention & Control at the Centers for Disease Control and Prevention (CDC) in Atlanta, Georgia, USA, to briefly report on some of the latest findings in the research community. This report on prescription drug overdose deaths is the 41st in a series of CDC articles.
Prior publication of results
None of the results have been previously published.
Role of funding source
Authors were affiliated with the Centers for Disease Control and Prevention (CDC), National Center for Injury Prevention and Control (NCIPC), Atlanta, Georgia, or the Office of the Assistant Secretary for Planning and Evaluation, US Department of Health and Human Services, Washington, DC. All work for this manuscript was done by Federal employees and no funding was involved.
Contributors
Dr. Jones conceived of the study. Drs. Easterling and Mack designed the study methods. Dr. Easterling performed the statistical analysis and wrote the draft text. Dr. Mack supervised all aspects of the study completion and manuscript development. All authors contributed to writing and approved the final manuscript.
Conflicts of interest
All authors declare that they have no conflicts of interest to disclose.
Prescription opioid drugs include buprenorphine, codeine, dihydrocodeine, fentanyl, hydrocodone, hydromorphone, meperidine, methadone, morphine, nalbuphine, oxycodone, oxymorphone, propoxyphene, and narcotic analgesics not otherwise specified. Combination drugs were coded with opioid drug (e.g., acetaminophen/oxycodone was put in the oxycodone category).
Illicit drugs include cocaine, heroin, marijuana, and methamphetamine.
Keith W. Easterling, PhD, MPH, currently has joint appointments as a Senior Lecturer in the Department of Pharmacology of the Emory University School of Medicine and in the inter-departmental Neuroscience and Behavioral Biology program at Emory University. Dr. Easterling studies opioids, stimulants, and club drugs, particularly their involvement in addiction and disease. His behavioral studies in the laboratory characterize the regulation of receptors, the effects of early-life stress on later drug use, and the identification of novel pharmacological therapies. His fellowship at CDC studying behavioral determinants of drug abuse and overdose was completed as part of an MPH degree program.
Karin A. Mack Ph.D. is the Associate Director for Science in the Division of Analysis, Research and Practice Integration at CDC's Injury Center. Her current projects include research on prescription drug overdoses and population level change to reduce injuries. Dr. Mack earned her Ph.D. at the University of Maryland and a Bachelor's degree from James Madison College of Michigan State University.
Christopher M. Jones, PharmD, MPH, currently serves as the Director of the Division of Science Policy in the Office of the Assistant Secretary for Planning and Evaluation (ASPE) at the U.S. Department of Health and Human Services (HHS). The Division serves as the ASPE lead on public health and biomedical science issues and initiatives, including programmatic and policy areas that involve complex or rapidly evolving science and technology. The Division is responsible for policy coordination; long-range planning; legislative development; economic, program, and regulatory analysis; and evaluation focused on the HHS science agencies CDC, FDA, NIH, and Office of the Assistant Secretary for Preparedness and Response (ASPR). Dr. Jones has previously served as senior advisor in the Office of Public Health Strategy and Analysis in the Office of the Commissioner at the FDA; led CDC's drug abuse and overdose activities; and served as Senior Public Health Advisor to the White House Office of National Drug Control Policy (ONDCP).
Location of drug-related deaths by demographics and manner of death, Drug Abuse Warning Network Medical Examiner, 2008–2010 (
| Prescription opioids | Illicit drugs | Both prescription opioid and illicit drugs | |||||||
|---|---|---|---|---|---|---|---|---|---|
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| Location | |||||||||
|
| |||||||||
| Home | ER/health care | Other or missing | Home | ER/health care | Other or missing | Home | ER/health care | Other or missing | |
| Race/ethnicity | |||||||||
| White | 62.0 (4979) | 24.6 (1979) | 13.4 (1073) | 45.2 (993) | 30.1 (661) | 24.7 (543) | 50.5 (894) | 30.6 (541) | 18.9 (334) |
| Black | 44.0 (169) | 44.3 (170) | 11.7 (45) | 33.8 (158) | 46.3 (216) | 19.9 (93) | 41.4 (84) | 38.4 (78) | 20.2 (41) |
| Hispanic | 64.0 (231) | 21.1 (76) | 15.0 (54) | 43.6 (105) | 32.0 (77) | 24.5 (59) | 55.1 (97) | 27.3 (48) | 17.6 (31) |
| Other/missing | 62.0 (101) | 21.5 (35) | 16.6 (27) | 25.0 (17) | 38.2 (26) | 36.8 (25) | 51.6 (16) | 29.0 (9) | 19.4 (6) |
| Age group (years) | |||||||||
| 0–19 | 48.9 (115) | 37.4 (88) | 13.6 (32) | 34.0 (33) | 36.1 (35) | 29.9 (29) | 30.2 (13) | 44.2 (19) | 25.6 (11) |
| 20–29 | 52.0 (792) | 31.0 (472) | 17.0 (259) | 40.1 (250) | 32.6 (203) | 27.3 (170) | 43.8 (227) | 35.3 (183) | 20.8 (108) |
| 30–39 | 57.2 (1108) | 29.0 (562) | 13.7 (266) | 39.7 (265) | 33.1 (221) | 27.1 (181) | 45.8 (240) | 34.5 (181) | 19.7 (103) |
| 40–49 | 64.3 (1669) | 22.4 (580) | 13.3 (346) | 42.5 (375) | 35.5 (313) | 22.0 (194) | 54.4 (370) | 27.2 (185) | 18.4 (125) |
| 50–59 | 68.2 (1383) | 20.3 (411) | 11.6 (235) | 49.4 (291) | 29.5 (174) | 21.1 (124) | 57.1 (216) | 26.5 (100) | 16.4 (62) |
| 60+ | 66.5 (413) | 23.7 (147) | 9.8 (61) | 51.3 (59) | 29.6 (34) | 19.1 (22) | 69.4 (25) | 22.2 (8) |
–
|
| Manner | |||||||||
| Suicide/homicide | 65.8 (612) | 19.1 (178) | 15.1 (140) | 53.8 (78) | 20.0 (29) | 26.2 (38) | 68.5 (50) | 13.7 (10) | 17.8 (13) |
| Unintentional | 61.6 (3931) | 24.4 (1558) | 13.9 (889) | 43.1 (944) | 32.2 (704) | 24.7 (540) | 50.6 (817) | 30.1 (486) | 19.3 (312) |
| Undetermined | 57.4 (937) | 32.1 (524) | 10.4 (170) | 39.2 (251) | 38.6 (247) | 22.2 (142) | 45.6 (224) | 36.7 (180) | 17.7 (87) |
Opioid drugs = buprenorphine, codeine, dihydrocodeine, fentanyl, hydrocodone, hydromorphone, meperidine, methadone, morphine, nalbuphine, oxycodone, oxymorphone, propoxyphene, and narcotic analgesics not otherwise specified.
Illicit drugs = cocaine, heroin, marijuana (if reported), and methamphetamine.
Suppressed due to low count.
Location of drug related death by drug class and state, Drug Abuse Warning Network Medical Examiner, 2008–2010 (
| Location | |||
|---|---|---|---|
|
| |||
| Home Row% ( | ER or health care facility Row% ( | Other or missing Row% ( | |
| Prescription opioid | |||
| Massachusetts | 52.3 (641) | 33.4 (409) | 14.3 (175) |
| Maryland | 49.0 (478) | 38.1 (372) | 12.9 (126) |
| Maine | 65.2 (223) | 22.8 (78) | 12.0 (41) |
| New Hampshire | 65.1 (179) | 24.0 (66) | 10.9 (30) |
| New Mexico | 72.2 (539) | 14.6 (109) | 13.3 (99) |
| Oklahoma | 68.1 (906) | 21.5 (286) | 10.4 (138) |
| Oregon | 65.4 (450) | 16.6 (114) | 18.0 (124) |
| Rhode Island | 58.9 (168) | 28.8 (82) | 12.3 (35) |
| Utah | 68.3 (528) | 22.1 (171) | 9.6 (74) |
| Virginia | 61.9 (723) | 25.1 (293) | 13.0 (152) |
| Vermont | 66.1 (82) | 25.8 (32) | 8.1 (10) |
| West Virginia | 56.0 (563) | 24.7 (248) | 19.4 (195) |
| All states | 61.3 (5480) | 25.3 (2260) | 13.4 (1199) |
| Illicit drug | |||
| Massachusetts | 41.3 (198) | 41.5 (199) | 17.3 (83) |
| Maryland | 35.3 (183) | 41.5 (215) | 23.2 (120) |
| Maine | 33.3 (7) | 33.3 (7) | 33.3 (7) |
| New Hampshire | 51.4 (37) | 30.6 (22) | 18.1 (13) |
| New Mexico | 48.0 (147) | 29.1 (89) | 22.9 (70) |
| Oklahoma | 44.0 (103) | 40.2 (94) | 15.8 (37) |
| Oregon | 37.6 (187) | 20.1 (100) | 42.3 (210) |
| Rhode Island | 48.1 (52) | 41.7 (45) | 10.2 (11) |
| Utah | 62.2 (117) | 20.2 (38) | 17.6 (33) |
| Virginia | 46.2 (169) | 31.4 (115) | 22.4 (82) |
| Vermont | 44.4 (8) | 27.8 (5) | 27.8 (5) |
| West Virginia | 39.4 (65) | 30.9 (51) | 29.7 (49) |
| All states | 42.8 (1273) | 33.0 (980) | 24.2 (720) |
| Both opioid and illicit | |||
| Massachusetts | 45.3 (266) | 36.1 (212) | 18.6 (109) |
| Maryland | 38.7 (117) | 44.4 (134) | 16.9 (51) |
| Maine | 50.0 (11) | 31.8 (7) | 18.2 (4) |
| New Hampshire | 50.0 (19) | 31.6 (12) | 18.4 (7) |
| New Mexico | 59.8 (131) | 19.2 (42) | 21.0 (46) |
| Oklahoma | 57.4 (62) | 25.9 (28) | 16.7 (18) |
| Oregon | 56.0 (121) | 19.4 (42) | 24.5 (53) |
| Rhode Island | 61.2 (52) | 24.7 (21) | 14.1 (12) |
| Utah | 62.3 (170) | 22.3 (61) | 15.4 (42) |
| Virginia | 50.0 (73) | 34.2 (50) | 15.8 (23) |
| Vermont |
–
| 40.0 (6) | 40.0 (6) |
| West Virginia | 39.3 (66) | 36.3 (61) | 24.4 (41) |
| All states | 50.0 (1091) | 31.0 (676) | 18.9 (412) |
Opioid drugs = buprenorphine, codeine, dihydrocodeine, fentanyl, hydrocodone, hydromorphone, meperidine, methadone, morphine, nalbuphine, oxycodone, oxymorphone, propoxyphene, and narcotic analgesics not otherwise specified.
Illicit drugs = cocaine, heroin, marijuana (if reported), and methamphetamine.
Suppressed due to low count.