Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2019 Apr 4.
Published in final edited form as: Subst Abus. 2018 Apr 4;39(3):384–389. doi: 10.1080/08897077.2018.1439801

The relationship between drug use settings, roles in the drug economy, and witnessing a drug overdose in Baltimore, Maryland

Carl A Latkin 1, Catie Edwards 1, Melissa A Davey-Rothwell 1, Cui Yang 1, Karin E Tobin 1
PMCID: PMC6107432  NIHMSID: NIHMS1501573  PMID: 29432084

Abstract

Background:

There has been a dramatic increase in drug overdose deaths in the US. In the current study, we examined factors associated with witnessing a drug overdose.

Methods:

A sample of 450 substance users in Baltimore, Maryland, US were recruited for a behavioral intervention and were administered a survey. Multinomial logistic regression models were used to compare participants who never witnessed a drug overdose to those who witnessed one in the prior six months and those who witnessed an overdose over six months ago.

Results:

Most (58%) participants were male, 40% experienced homelessness in the prior six months; 63% reported a history of heroin injecting, 84% had snorted heroin, 75% reported witnessing a drug overdose, and 38% experienced an overdose. In multinomial logistic regression models, witnessing an overdose in the past six months was associated with number of different types of places where drugs were used (aOR=1.34), history of experiencing an overdose (aOR=1.80), injecting heroin and/or speedball (aOR=1.78), and snorting heroin (aOR=1.54). Witnessing an overdose more than six months ago was associated with number of different places where drugs were used (aOR=1.25), history of experiencing an overdose (aOR=1.61), snorting heroin (aOR=1.42), and injecting heroin or speedball (aOR=1.47).

Conclusions:

These data suggest that people who engage in more public and frequent drug use, and hence are more likely to witness an overdose, should be targeted for interventions to prevent and treat drug overdose.

Keywords: overdose, opioids, witness, heroin, injection drug use, syringe exchange

1. Introduction

Drug overdose has become the major cause of injury mortality in the US and the primary cause of death among opioid users. From 2010 to 2014, the death rate in the US from heroin overdose had more than tripled, with over 10,500 deaths in 2014.1 Cases of hepatitis C (HCV) among those 30 and younger that were reported to the CDC more than tripled from 2006 to 2012, and over three-quarters of these HCV cases reported prior injection drug use.2 These increases in injection drug use and HCV cases coincides with increased reports of lower heroin prices and greater use of heroin.38

It is well established that naloxone is highly effective for treating opioid overdoses. One feasibility study of bystander administered naloxone have found overdose reversal rates ranging from 75% to 100% of cases.9 Naloxone can be administered by other drug users with minimal training and can reduce opioid overdose mortality 10. Naloxone trainings for opioid users have documented significant increases in confidence in the ability to successfully administer naloxone and knowledge of overdose characteristics, as well as improved knowledge of actions necessary in the event of an overdose and risks associated with overdose.10 Consequently, it is important to identify individuals who witness an opioid overdose to provide them naloxone and overdose prevention training. Research suggests that drug users are willing to administer naloxone in the event of an overdose, with the strongest associations among those who had witnessed or experienced a drug overdose themselves.11 Findings from one study reported that those who frequently witness drug overdoses are more likely to be male, use heroin, have a prior experience of an overdose, and be embedded in drug networks.13 Unfortunately, those who had witnessed multiple overdoses were less likely to report seeking medical assistance and more likely to report taking ineffective and potentially harmful actions, such as injecting the victim with salt or bleach, at last witnessed overdose.14

In the current study, which was the baseline assessment of opioid and cocaine users enrolled in an HIV risk reduction study, we examined factors associated with witnessing a drug overdose. We focused on drug economy activities and drug use settings frequented by urban drug users, with the goal of identifying individuals to target for naloxone training who are more likely to witness drug overdoses. We were interested in examining whether individuals who witnessed recent drug overdoses, as compared to those who had not witnessed an overdose, tended to exhibit greater levels of drug dependence, as measured by frequency of drug use, involvement in the drug economy, and using drugs in more settings.

2. Methods

2.1. Participants

The study recruitment and baseline interviewing were conducted from July 2009 to July 2013 in Baltimore, Maryland as part of a randomized clinical trial for HIV prevention and care and psychological distress among inner-city substance users who reside in impoverished neighborhoods (ClinicalTrials.gov Identifier: NCT01380613). Recruitment was conducted by street-based outreach, word-of-mouth, flyers, advertisements in local papers, and referrals from community agencies. Inclusion criteria for enrollment into the study were: (1) aged 18–55; (2) willingness to attend intervention sessions; (3) at least one sexual HIV risk behavior; and (4) at least one drug-related HIV risk behavior. Sex risks were defined as: (a) two or more sex partners in past six months, (b) a sex partner who injected drugs in past six months, (c) a sex partner who smoked crack in past six months, or (d) a sex partner who is HIV positive. Drug-related HIV risk behaviors were defined as (a) self-reported injection drug use three or more times in the past week, or (b) crack use in the prior six months. Exclusion criteria included (1) being enrolled in another HIV behavioral intervention or depression study in the past three years, or (2) being enrolled in another study conducted at the same research clinic in the past five years.

Participants provided written consent following which a trained interviewer administered the baseline interview at a research clinic located in the community. The interview was administered face-to-face and via audio computer assisted self-interviewing (ACASI). All study protocols and procedures were reviewed and approved by the University’s Institutional Review Board. Participants received $35 for completing the baseline interview, which lasted approximately 90 minutes. Of the 465 participants who completed the baseline survey with the drug overdose items, 15 individuals did not have complete data, resulting in a total sample size of 450 participants.

2.2. Measures

2.2.1. Overdose witnessing and experiencing

The four overdose questions included: (1) “In your lifetime, how many people have you witnessed having an overdose (not including yourself)?” (2) “When was the last time you witnessed an overdose?”(3) “How many times in your life have you overdosed?” and (4) “When was your most recent overdose?” The response options were “in the last six months,” “in the last year,” “more than a year ago,” and “never” Reports of last experiencing and witnessing drug overdose were then collapsed into the categories “ in the last six months,” “over six months ago,” or “never.” The category of “in the last six months” was employed to reduce memory biases that may occur from recalling events that occurred in the distant past. The category of greater than six months was included because individuals who have never witnessed an overdose may differ from those who have ever witnessed an overdose. The number of overdoses ever experienced and ever witnessed were coded from “zero” to “ten or more” overdoses experienced and from “zero” to “ten or more” overdoses witnessed.

2.2.2. Drug use, drug economy involvement, & risk setting

Other survey items included measures of last time participants used a particular drug, which were categorized as “in the last six months” (2), “over six months ago”(1), or “never” (0). The two questions on injecting heroin and injecting speedball (a combination of heroin and cocaine) were combined into a single variable to measure opiate injecting with a range of 0–4. For the combined variable, “0” indicated having never injected heroin or speedball; “1” indicated injecting either form of heroin over six months ago; “2” indicated injecting one form of heroin within the prior six months or both forms of heroin over six months ago; “3” injecting one form of heroin over six months ago and the other form within the last six months; while a “4” indicated having injected both heroin and speedball in the past six months.

Drug user settings:

To measure the number of drug use settings, participants were asked whether they had used drugs in the following six settings in the past six months: a friend’s place, shooting gallery, crack house, abandoned building, outside, or public bathroom in the past six months. We conducted a polychoric factor analysis of the number of injection settings, and one clear factor emerged with an Eigenvalue of 3.21. The loadings ranged from .58–.83. Consequently, we added these six items together as a scale, which had a Cronbach alpha of .74 and a range of 0–6 and treated the measure as a continuous variable.

Baltimore City Health Department’s Needle Exchange utilization was assessed by whether participants exchanged needles for themselves in the past six months. Involvement in the drug economy included the question of whether participants sold drugs in the past 30 days. Finally, response categories to the question of frequency of buying drugs in their neighborhood in the prior six months were “never,” “sometimes,” “always,” and “often.”

2.2.3. Statistical analyses

We utilized bivariate and multivariate multinomial regression models to compare those who reported never witnessing a drug overdose to those who witnessed one in the last six months, and to those who witnessed one over six months ago. All predictors were treated as continuous, and odds ratios indicated the effect of one level change in the predictor. Variables with statistical associations of p. <.20 in the bivariate models were then included in the multivariate multinomial regression analyses.

3. Results

3.1. Sample characteristics

The sample was predominantly African American (85%), with 13% white and 2% other or mixed ethnicity/race. More than half (58%) of the participants were male. This was a highly impoverished population with 37% reporting that they had been homeless in the prior six months and 26% reporting that they had lived on the street in the prior six months. Only 9% were currently employed full or part-time. There were low levels of education, with over half (52%) having received less than twelve years of education. The majority of participants (62%) reported a lifetime history of injecting heroin, 50% injected speedball, 54% injected heroin only, 84% had snorted heroin, 78% smoked crack, and 36% had used prescription opiates to get high. As seen in Table 1, most participants (75%) reported ever witnessing a drug overdose, with 19% witnessing an overdose in the prior six months. There were 25% who reported never witnessing an overdose. Most (63%) witnessed 1–5 drug overdoses (ever) and 12% more than 5 overdoses. Over one-third (38%) reported experiencing a drug overdose, with 6% in the past six months, and 23% having experienced more than one overdose. The categories of witnessing an overdose (in the prior six months, more than six months ago, never) was associated with experiencing an overdose (in the prior six months, more than six months ago, never) (X2 =58.87, p<.001, n=450). Twenty percent of the sample had experienced and witnessed an overdose in the prior six months, 33% witnessed an overdose in the prior six months but had never experienced an overdose, and 21% had never experienced or witnessed an overdose. Participants reported using drugs in a range of settings away from home: friend’s place (76%), shooting gallery (25%), crack house (25%), outside (50%), public bathroom (24%), and abandoned building (36%). When these six items were added together as a scale, with a range of 0–6, the mean number of drug use setting was 2.4 (median = 2).

Table 1.

Sample characteristics stratified by witnessing an overdose among substance users in Baltimore, Maryland, USA (n=450)

In the past six
months
Over six months
ago
Never
N = 88 N = 250 N = 112
  n % n % n %
Gender
Male 53 60.2 150 60.0 58 51.8
Age
< 44 years 45 51.1 110 44.0 51 45.5
Education
Grade 11 or less 52 59.1 131 52.4 52 46.4
Slept on the street a
Yes 37 42.0 58 23.2 24 21.4
No 51 58.0 192 76.8 88 78.6
Needle exchange use a
Yes 35 39.8 74 29.6 17 15.2
No 53 60.2 176 70.4 95 84.8
History of drug overdose
Never 35 39.8 150 60.0 96 85.7
Over six months ago 39 44.3 92 36.8 13 11.6
In the past six months 14 15.9 8 3.2 3 2.7
Sold drugs b
Yes 18 20.5 34 13.6 7 6.3
No 70 79.5 216 86.4 105 93.8

Bought drugs in own neighborhood a
Never 24 27.3 70 28.0 39 34.8
Sometimes 24 27.3 69 27.6 40 35.7
Often 16 18.2 54 21.6 18 16.1
Always 24 27.3 57 22.8 15 13.4
Number of drug use settings a,c
0 7 8.0 33 13.2 23 20.5
1 13 14.8 63 25.2 36 32.1
2 13 14.8 47 18.8 27 24.1
3 18 20.5 41 16.4 13 11.6
4 12 13.6 20 8.0 8 7.1
5 17 19.3 23 9.2 4 3.6
6 8 9.1 23 9.2 1 0.9
Heroin and speedball (injecting)d
Never injected either heroin or speedball 18 20.5 99 39.6 78 69.6
Injected one form of heroin over six months ago 2 2.3 5 2.0 5 4.5

Either injected both forms over six months ago or one form within the prior six months
18 20.5 38 15.2 9 8.0

Injected one form in the last six months over six months ago
5 5.7 13 5.2 5 4.5

Injected both forms of heroin in the past six months
45 51.1 95 38.0 15 13.4

Heroin (snorting)
Never 12 13.6 33 13.2 27 24.1
Over six months ago 20 22.7 59 23.6 19 17.0
In the past six months 56 63.6 158 63.2 66 58.9
Prescription opiates
Never 48 54.5 153 61.2 85 75.9
Over six months ago 10 11.4 26 10.4 8 7.1
In the past six months ( 30 34.1 71 28.4 19 17.0
a

past six months

b

past 30 days.

c

The six drug uses settings in the past six months included: a friend’s place, shooting gallery, crack house, abandoned building, outside, and public bathroom

d

Injecting heroin was constructed from added the two variables of recency injecting cocaine and heroin (speedball) and recency of injecting heroin. The categories were “never”, “over six months ago” and “within the past six months.”

3.2. Witnessing an overdose

In the bivariate multinomial logistic regression analyses, witnessing a drug overdose was associated with a range of drug use factors. Witnessing an overdose was strongly associated with sleeping on the street, prescription opiate use, injecting heroin or speedball, using a needle exchange program, selling drugs, buying drugs in your neighborhood, experiencing an overdose, and number of drug use settings (Table 2).

Table 2.

Multinomial logistic regression models of witnessing an overdose among substance users in Baltimore, Maryland, USA (n=450)

In the past six months (vs. never)
Over six months ago (vs. never)
OR
(95% CI)
p-value Adjusted
OR
(95% CI)
p-value OR
(95% CI)
p-value Adjusted OR
(95% CI)
p-value
Age ( <44 years vs. ≥44 years) .80
(.46, 1.40)
.432 - - 1.06
(.68, 1.67)
.786 - -
Slept on the street a 2.40
(1.44, 4.02)
.001 1.68
(.80, 3.54)
.173 .90
(.53, 1.55)
.710 .81
(.44, 1.52)
.515
Needle exchange usea 3.69
(1.89, 7.21)
<.001 .51
(.19, 1.38)
.185 2.35
(1.31, 4.21)
.004 .59
(.24, 1.43)
.241
Sold drugs b 3.86
(1.53, 9.72)
.004 1.69
(.60, 4.74)
.321 2.36
(1.01, 5.50)
.047 1.33
(.53, 3.33)
.543
Bought drugs in neighborhood a 1.37
(1.06, 1.77)
.018 1.22
(.92, 1.63)
.170 1.30
(1.06, 1.60)
.014 1.23
(.98, 1.55)
.070
Number of drug use settings a, c 1.63
(1.37, 1.95)
<.001 1.34
(1.08, 1.66)
.008 1.34
(1.16, 1.55)
<.001 1.25
(1.04, 1.49)
.015
Overdose history 2.93
(2.04, 4.21)
<.001 1.80
(1.19, 2.74)
.006 2.17
(1.58, 2.98)
<.001 1.61
(1.13, 2.31)
.009
Crack use a .95
(.68, 1.33)
.784 - - 1.00
(.76, 1.31)
.998 - -
Heroin and/or speedball (injecting) a 1.87
(1.56, 2.25)
<.001 1.78
(1.34, 2.36)
<.001 1.51
(1.30, 1.75)
<.001 1.47
(1.16, 1.86)
.001
Heroin (snorting) a 1.29
(.90, 1.87)
.171 1.54
(1.00, 2.37)
.049 1.29
(.97, 1.72)
.080 1.42
(1.04, 1.95)
.030
Prescription opiates a 1.70
(1.22, 2.38)
.002 1.13
(.77, 1.66)
.543 1.47
(1.10, 1.94)
.008 1.14
(.83, 1.57)
.407
a

in the past 6 months

b

in the past 30 days

c

The six drug uses settings in the past six months included: a friend’s place, shooting gallery, crack house, abandoned building, outside, and public bathroom

In the multivariate multinomial model (Table 2), witnessing an overdose in the past six months remained positively and significantly associated with injecting heroin or speedball (aOR=1.78), number of different types of places where drugs were used (aOR=1.34), and history of experiencing an overdose (aOR=1.80). Bivariate associations with sleeping on the street, needle exchange use, selling drugs, buying drugs in your neighborhood, prescription opiate use, and snorting heroin were no longer independently associated with witnessing an overdose in the past six months.

In the multinomial logistic regression model (Table 2), witnessing an overdose over six months ago was positively and significantly associated with injecting opiates (aOR=1.47), snorting heroin (aOR=1.42), number of different places where drugs were used (aOR=1.25), and history of experiencing an overdose (aOR=1.61). Bivariate associations with needle exchange use, buying drugs in your own neighborhood, and prescription opiate use were attenuated and no longer independently associated with witnessing an overdose over six months ago.

4. Discussion

The study findings in the multivariate analyses suggest that individuals who have witnessed an overdose in the prior six months use drugs in more settings, were more likely to inject and snort heroin recently., Individuals who visit more drug use settings such as shooting galleries and crack houses are likely to be interacting with more drug users and hence have a greater opportunity to witness drug overdose. This variable may be an indication of the amount of drug use in the neighborhood. History of experiencing an overdose was also strongly associated with witnessing an overdose. This association has been found in prior research.13

In the multivariate analyses, participants who reported an overdose more than six months ago, as compared to those who had never witnessed an overdose, were more likely to use drugs in a greater number of settings, were more likely to recently inject and snort heroin, and were more likely to report that they had a history of a drug overdose. In the bivariate analyses, there were several significant differences between those who reported overdosing in the prior six months compared to those who had never overdosed and those who reported overdosing more than six months age compared to those who had never overdosed. However, in the multivariate analyses these differences were attenuated.

It is likely that some of the items which were found to be statistically significant are tapping into the construct of severity of drug dependence. Greater drug severity of dependence may lead to interacting with more drug users and frequenting more drug use settings. Both are likely to lead to a greater chance of witnessing a drug overdose.

The study findings suggest the potential value of identifying and training individuals in overdose prevention and care who use drugs in more types of settings. The value of training drug users who frequent a variety of injection settings is also supported by previous research that found overdoses witnessed in public and/or abandoned buildings, compared to one’s home, were more likely to be fatal.14

It is interesting to note that in both multivariate models, needle exchange use was no longer statistically significant. Since the frequency of injecting is the major reason why persons who inject drugs go to needle exchanges, these findings do not negate the importance of utilizing needle exchange as an avenue for overdose prevention and care training. In several cities, needle exchange has been successfully utilized as a venue to recruit drug users for naloxone training.15

Overdose training programs can be effective in leading to the appropriate use of naloxone. At the time of this study, Baltimore City Health Department had instituted naloxone training linked to their syringe exchange program. Since May 2017, a standing order for naloxone has made it available without a prescription, yet it can still be expensive for individuals depending on their health insurance status and type of insurance. Moreover, with the increase in the distribution of fentanyl, drug overdose fatalities have greatly increased in Baltimore and elsewhere in the US.16,17 This trend suggests the need to train more individuals quickly, as well as target individuals who frequent common injection settings, such as shooting galleries and abandoned buildings. Because fentanyl is a rapidly acting opioid and may require greater amounts of naloxone to reverse its effects, overdose prevention should also emphasize not injecting alone. For individuals who hide their drug use, it is important to train them in skills for disclosing their drug use as well as facilitate drug treatment and naloxone administration training for family members and friends. The establishment of safe drug consumption spaces is another important approach to reduce drug overdose fatalities.

A limitation of the current study is that we do not know what percentage of reported overdoses were due to opiates, rather than alcohol, benzodiazepines, or other drugs that will not respond to naloxone. In this study, 94% of participants were opiate users, which suggests that opiate use was involved in the vast majority of overdoses. It is likely that a large proportion of participants were using substances in addition to opiates.1820 Toxicology tests may provide accurate information on fatal overdose and those who were treated in medical facilities, but toxicology results are not available to those witnessing an overdose.

There are several other limitations that should be noted. We may have missed key factors among drug users who had a fatal overdose. We also do not know how the question about witnessing drug overdoses was interpreted. For example, participants may or may not have interpreted the observation of someone unconscious as an overdose victim. It is likely that contextual factors associated with overdoses among inner-city opiate users may not generalize to rural and suburban drug users. These results do suggest that regardless of the context, it may be important to examine drug use settings and roles in drug economy.

Future studies should examine drug overdose in rural contexts, which in the US have seen sharp increases in nonmedical prescription drug and heroin use and overdose. Such studies should also examine the concordance between observers’ and victims’ overdose reports. However, a critical issue for future research and public health programs are first to identify individuals who are at risk of or witnesses to overdose, and overcome barriers to training and providing these individuals with naloxone. In addition, we must ensure that opioid users do not use alone and have access to low threshold and effective drug treatment programs that include overdose prevention and care training. In conclusion, the study results suggest that drug users who inject in more types of settings are also more likely to witness a drug overdose. The study results also indicate that there are a cluster of factors associated with witnessing drug overdoses, and future research should try to disentangle these factors. However, regardless of the causal pathways leading to witnessing drug overdoses, it is critical to increase the reach and coverage of naloxone distribution and other methods of drug overdose prevention and care.

Acknowledgments

Funding

Grant DA022961 of the National Institute on Drug Abuse, NIH, supported this research. The funding organization had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.

Footnotes

Conflict of Interest

None of the authors have financial conflicts of interests.

References

  • 1.Rudd RA, Aleshire N, Zibbell JE, Gladden RM. Increases in drug and opioid overdose deaths - United States, 2000–2014. MMWR Morb Mortal Wkly Rep. 2016;64(50–51):1378–1382. [DOI] [PubMed] [Google Scholar]
  • 2.Suryaprasad AG, White JZ, Xu F, et al. Emerging epidemic of hepatitis C virus infections among young nonurban persons who inject drugs in the United States, 2006–2012. Clin Infect Dis. 2014;59(10):1411–1419. [DOI] [PubMed] [Google Scholar]
  • 3.Rosenblum D, Unick GJ, Ciccarone D. The entry of Colombian-sourced heroin into the US market: The relationship between competition, price, and purity. Int J Drug Policy. 2014;25(1):88–95. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Jones CM, Logan J, Gladden RM, Bohm MK. Vital signs: Demographic and substance use trends among heroin users - United States, 2002–2013. MMWR Morb Mortal Wkly Rep. 2015;64(26):719–725. [PMC free article] [PubMed] [Google Scholar]
  • 5.Cicero TJ, Ellis MS. Abuse-deterrent formulations and the prescription opioid abuse epidemic in the United States: Lessons learned from OxyContin. JAMA Psychiatry. 2015;72(5):424–430. [DOI] [PubMed] [Google Scholar]
  • 6.Cicero TJ, Ellis MS, Surratt HL. Effect of abuse-deterrent formulation of OxyContin. N Engl J Med. 2012;367(2):187–189. [DOI] [PubMed] [Google Scholar]
  • 7.Coplan PM, Kale H, Sandstrom L, Landau C, Chilcoat HD. Changes in oxycodone and heroin exposures in the national poison data system after introduction of extended‐release oxycodone with abuse‐deterrent characteristics. Pharmacoepidemiol Drug Saf. 2013;22(12):1274–1282. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Mars SG, Bourgois P, Karandinos G, Montero F, Ciccarone D. “Every ‘never’ I ever said came true”: Transitions from opioid pills to heroin injecting. Int J Drug Policy. 2014;25(2):257–266. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Doyon S, Aks SE, Schaeffer S. Expanding access to naloxone in the United States. Clin Toxicol. 2014;52(10):989–992. [DOI] [PubMed] [Google Scholar]
  • 10.Strang J, Manning V, Mayet S, et al. Overdose training and take‐home naloxone for opiate users: Prospective cohort study of impact on knowledge and attitudes and subsequent management of overdoses. Addiction. 2008;103(10):1648–1657. [DOI] [PubMed] [Google Scholar]
  • 11.Lagu T, Anderson BJ, Stein M. Overdoses among friends: Drug users are willing to administer naloxone to others. J Subst Abuse Treat. 2006;30(2):129–133. [DOI] [PubMed] [Google Scholar]
  • 12. Martins SS, Sampson L, Cerdá M, Galea S. Worldwide prevalence and trends in unintentional drug overdose: A systematic review of the literature. Am J Public Health. 2015;105(11):e29–e49. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Bohnert AS, Tracy M, Galea S. Characteristics of drug users who witness many overdoses: Implications for overdose prevention. Drug Alcohol Depend. 2012;120(1):168–173. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Bohnert AS, Tracy M, Galea S. Circumstances and witness characteristics associated with overdose fatality. Ann Emerg Med. 2009;54(4):618–624. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Piper TM, Rudenstine S, Stancliff S, et al. Overdose prevention for injection drug users: Lessons learned from naloxone training and distribution programs in New York City. Harm Reduct J. 2007;4(1):1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Krinsky CS, Lathrop SL, Crossey M, Baker G, Zumwalt R. A toxicology-based review of fentanyl-related deaths in New Mexico (1986–2007). Am J Forensic Med Pathol. 2011;32(4):347–351. [DOI] [PubMed] [Google Scholar]
  • 17.Boddiger D Fentanyl-laced street drugs “kill hundreds”. Lancet. 2006;368(9535):569–570. [DOI] [PubMed] [Google Scholar]
  • 18.Visconti AJ, Santos G, Lemos NP, Burke C, Coffin PO. Opioid overdose deaths in the city and county of San Francisco: Prevalence, distribution, and disparities. J Urban Health. 2015;92(4):758–772. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.PO Coffin, Galea S, Ahern J, Leon AC, Vlahov D, Tardiff K Opiates, cocaine and alcohol combinations in accidental drug overdose deaths in New York City, 1990–98. Addiction. 2003;98(6):739–747. [DOI] [PubMed] [Google Scholar]
  • 20.Shah NG, Lathrop SL, Reichard RR, Landen MG. Unintentional drug overdose death trends in New Mexico, USA, 1990–2005: Combinations of heroin, cocaine, prescription opioids and alcohol. Addiction. 2008;103(1):126–136. [DOI] [PubMed] [Google Scholar]

RESOURCES