Skip to main content
American Journal of Public Health logoLink to American Journal of Public Health
. 2016 May;106(5):915–917. doi: 10.2105/AJPH.2016.303084

A Longitudinal Study of Multiple Drug Use and Overdose Among Young People Who Inject Drugs

Elise D Riley 1,, Jennifer L Evans 1, Judith A Hahn 1, Alya Briceno 1, Peter J Davidson 1, Paula J Lum 1, Kimberly Page 1
PMCID: PMC4878116  NIHMSID: NIHMS787026  PMID: 26985620

Abstract

Objectives. To determine the association between multiple drug use and nonfatal overdose among young people (younger than 30 years) who inject drugs.

Methods. We completed a longitudinal study of 173 injection drug users younger than 30 years living in San Francisco, California, between April 2012 and February 2014.

Results. The odds of nonfatal overdose increased significantly as heroin and benzodiazepine pill-taking days increased and when alcohol consumption exceeded 10 drinks per day compared with 0 drinks per day.

Conclusions. Heroin, benzodiazepine, and alcohol use were independently associated with nonfatal overdose over time among young people who inject drugs. Efforts to address multiple central nervous system depressant use remain an important component of a comprehensive approach to overdose, particularly among young people.


Deaths from drug overdose have been increasing for 2 decades,1,2 and research indicates that prior nonfatal overdose is a strong predictor of future fatal overdose.3 Correlates of overdose include young age,3–5 non-White race/ethnicity,6,7 female sex,5,7,8 poverty,9 homelessness,4 reduced physiological tolerance5 following incarceration, hospitalization and abstinence-based drug treatment,4,8,10,11 frequency of use, and polysubstance use.12 Years of potential life lost as a result of overdose are estimated at 18.3 in the United States,13 making this an important topic for young people who inject drugs. However, overdose studies restricted to young people are rare and often cross-sectional.

We used follow-up data collected over 1.9 years to consider the effect of factors previously identified with overdose on nonfatal overdose risk estimated in longitudinal analyses among young people who inject drugs living in San Francisco, California.

METHODS

Between April 2010 and February 2014, individuals were recruited through street-based convenience sampling and screened for study participation in a young injection drug user’s cohort study, known as the UFO (“U Find Out”) Study. Eligibility criteria included being younger than 30 years, having injected drugs in the last 3 months, and having no immediate plans to leave San Francisco, California. Among 353 persons screened, 233 were enrolled into the cohort study.14 Every 3 months, participants were reimbursed $25 for completing a 1- to 1.5-hour follow-up visit including an interviewer-administered questionnaire and HCV testing. Data for the current analysis were limited to interviews occurring after April 2012, a time during which detailed questions about the frequency of drug-using days were included in the study questionnaire (n = 173; Figure 1).

FIGURE 1—

FIGURE 1—

Study Flow Diagram of Young People Who Inject Drugs: San Francisco, CA, April 2010–February 2014

Note. PWID = people who inject drugs; UFO Study = “U Find Out” Study.

Self-reported nonfatal overdose in the past 3 months from opioids was defined as a loss of consciousness during which at least 1 intervention was attempted by a third party (e.g., naloxone or rescue breathing). We considered potential associations between overdose and several factors (Table 1). We used longitudinal logistic regression models fit by generalized estimating equations to estimate the effects of exposure variables on the population average of overdose. We deleted covariates from the full regression model if they did not contribute to its overall fit, resulting in a parsimonious model. We used Stata version 11.215 and SAS version 9.216 to perform statistical analyses.

TABLE 1—

Longitudinal Associations Between Number of Drug Use Days and Nonfatal Overdose Among Young People Who Inject Drugs: San Francisco, CA, April 2012–February 2014

Prevalence at Baseline, % (No) or Median (IQR) Unadjusted ORa (95% CI) Parsimonious Model,b AORa (95% CI)
Alcoholic drinks on drinking days
 0 24 (41) 1 (Ref) 1 (Ref)
 1–4 37 (64) 0.65 (0.28, 1.49) 0.63 (0.26, 1.52)
 5–9 26 (45) 0.57 (0.19, 1.73) 0.75 (0.25, 2.26)
 ≥ 10 12 (21) 4.39 (1.84, 10.51) 4.50 (1.77, 11.45)
Drug-taking days
 Opioid pill-taking daysc 0.5 (0–7) 1.15 (1.01, 1.32)
 Benzodiazepine pill-taking daysc 0 (0–5) 1.23 (1.07, 1.43) 1.22 (1.04, 1.43)
 Heroin-only (not mixed) injection daysc 5 (0–20) 1.46 (1.28, 1.67) 1.40 (1.22, 1.61)
 Amphetamine/speed-only (not mixed) injection daysc 3 (0–10) 1.08 (0.90, 1.29)
 Cocaine-only (not mixed) injection daysc 0 (0–0) 1.18 (0.52, 2.69)
 Crack only (not mixed) injection daysc 0 (0–0) 1.10 (0.59, 2.04)
 Heroin + cocaine (“speedballs”) injection daysc 0 (0–0) 1.32 (0.86, 2.02)
 Methamphetamine + heroin (“goofballs”) injection daysc 0 (0–0) 1.47 (1.18, 1.84)
No. of injections on an average day 3 (2–4) 1.18 (1.07, 1.30)

Note. AOR = adjusted odds ratio; CI = confidence interval; IQR = interquartile range; OR = odds ratio. The sample size was n = 173.

a

ORs obtained using generalized estimating equations.

b

Only variables significantly contributing to the fit of the model are retained in the adjusted parsimonious model.

c

Per 5 days.

RESULTS

Among the 173 study participants, 34% were female, 80% experienced recent homelessness, and the median age was 25 years (interquartile range = 23–27; Table A, available as a supplement to the online version of this article at http://www.ajph.org). During the 1.9-year study period, the median follow-up time was 9.3 months per participant, resulting in 674 study visits and 139.6 person-years of follow-up data; 81% of the participants completed at least 2 interviews.

The rate of nonfatal overdose was 19 per 100 person-years. In adjusted longitudinal analysis, the odds of nonfatal overdose during the prior 3 months increased 40% with every 5 additional heroin injection days (adjusted odds ratio [AOR] = 1.40; 95% confidence interval [CI] = 1.22, 1.61), 22% with every 5 additional benzodiazepine pill-taking days (AOR = 1.22; 95% CI = 1.04, 1.43), and 4.5-fold when alcohol consumption exceeded 10 drinks per drinking day compared with 0 (AOR = 4.50; 95% CI = 1.77, 11.45; Table 1).

DISCUSSION

Nonfatal overdose increased as the ingestion of multiple central nervous system depressants (benzodiazepines and alcohol) increased. Factors associated with overdose in previous studies not restricted to young people, including race, sex, and methadone use, did not significantly predict nonfatal overdose in longitudinal analyses within this population of young people who inject drugs.

Consistent with findings presented here, nearly 30% of overdose deaths from a recent analysis of National Vital Statistics also involved benzodiazepines.17 The phenomenon whereby benzodiazepines are rarely ascribed as the cause of death, but widely recognized as a potentiating substance identified at autopsy, has been noted since the early 1990s.18,19 Taken together, results indicate that benzodiazepines continue to be an important contributor to overdose 2 decades later.

The continued increase in rates of illicit drug use and deaths from overdose are a public health problem,1 particularly among young people who inject drugs.12 Longitudinal findings regarding nonfatal overdose among community-recruited young people who inject drugs presented here support efforts to address use of multiple central nervous system depressants as one arm of a comprehensive approach to overdose.

ACKNOWLEDGMENTS

This work was supported by the National Institutes of Health (grants R01DA016017, R01DA037012, K24AA022586, K01DA032443, U79TI020296, UL1 RR024131, and P30 DK026743).

We thank the UFO Study staff and volunteers for their dedicated research assistance and support and our community partners Homeless Youth Alliance, Street Outreach Services, and San Francisco AIDS Foundation. We especially acknowledge the participation of all the UFO Study participants without whom this research and the knowledge we gain would not be possible.

Note. None of the funders had input on the study design, study conduct, data management, statistical analysis, interpretation of data, writing of the brief, or decision to submit the brief for publication.

HUMAN PARTICIPANT PROTECTION

All research and informed consent protocols were approved by the institutional review board at the University of California, San Francisco.

REFERENCES

  • 1.Centers for Disease Control and Prevention. Wide-Ranging OnLine Data for Epidemiologic Research (WONDER) Compressed Mortality File: Underlying Cause-of-Death. 2012. Available at: http://wonder.cdc.gov/mortsql.html. Accessed May 6, 2014.
  • 2.Rudd RA, Paulozzi LJ, Bauer MJ et al. Increases in heroin overdose deaths - 28 states, 2010 to 2012. MMWR Morb Mortal Wkly Rep. 2014;63(39):849–854. [PMC free article] [PubMed] [Google Scholar]
  • 3.Coffin PO, Tracy M, Bucciarelli A, Ompad D, Vlahov D, Galea S. Identifying injection drug users at risk of nonfatal overdose. Acad Emerg Med. 2007;14(7):616–623. doi: 10.1197/j.aem.2007.04.005. [DOI] [PubMed] [Google Scholar]
  • 4.Seal KH, Kral AH, Gee L et al. Predictors and prevention of nonfatal overdose among street-recruited injection heroin users in the San Francisco Bay Area, 1998-1999. Am J Public Health. 2001;91(11):1842–1846. doi: 10.2105/ajph.91.11.1842. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Warner-Smith M, Darke S, Lynskey M, Hall W. Heroin overdose: causes and consequences. Addiction. 2001;96(8):1113–1125. doi: 10.1046/j.1360-0443.2001.96811135.x. [DOI] [PubMed] [Google Scholar]
  • 6.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: 10.1111/j.1360-0443.2007.02054.x. [DOI] [PubMed] [Google Scholar]
  • 7.Bernstein KT, Bucciarelli A, Piper TM, Gross C, Tardiff K, Galea S. Cocaine- and opiate-related fatal overdose in New York City, 1990-2000. BMC Public Health. 2007;7:31. doi: 10.1186/1471-2458-7-31. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Binswanger IA, Blatchford PJ, Mueller SR, Stern MF. Mortality after prison release: opioid overdose and other causes of death, risk factors, and time trends from 1999 to 2009. Ann Intern Med. 2013;159(9):592–600. doi: 10.7326/0003-4819-159-9-201311050-00005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Galea S, Ahern J, Vlahov D et al. Income distribution and risk of fatal drug overdose in New York City neighborhoods. Drug Alcohol Depend. 2003;70(2):139–148. doi: 10.1016/s0376-8716(02)00342-3. [DOI] [PubMed] [Google Scholar]
  • 10.Merrall EL, Kariminia A, Binswanger IA et al. Meta-analysis of drug-related deaths soon after release from prison. Addiction. 2010;105(9):1545–1554. doi: 10.1111/j.1360-0443.2010.02990.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Kinner SA, Milloy MJ, Wood E, Qi J, Zhang R, Kerr T. Incidence and risk factors for non-fatal overdose among a cohort of recently incarcerated illicit drug users. Addict Behav. 2012;37(6):691–696. doi: 10.1016/j.addbeh.2012.01.019. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Evans JL, Tsui JI, Hahn JA, Davidson PJ, Lum PJ, Page K. Mortality among young injection drug users in San Francisco: a 10-year follow-up of the UFO study. Am J Epidemiol. 2012;175(4):302–308. doi: 10.1093/aje/kwr318. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Smyth B, Hoffman V, Fan J, Hser YI. Years of potential life lost among heroin addicts 33 years after treatment. Prev Med. 2007;44(4):369–374. doi: 10.1016/j.ypmed.2006.10.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Page K, Hahn JA, Evans J et al. Acute hepatitis C virus infection in young adult injection drug users: a prospective study of incident infection, resolution, and reinfection. J Infect Dis. 2009;200(8):1216–1226. doi: 10.1086/605947. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Stata statistical software: release 11. College Station, TX: StataCorp LP; 2009.
  • 16.The SAS System for Windows: Release 9.2. Cary, NC: SAS Institute; 2011. [Google Scholar]
  • 17.Jones CM, Mack KA, Paulozzi LJ. Pharmaceutical overdose deaths, United States, 2010. JAMA. 2013;309(7):657–659. doi: 10.1001/jama.2013.272. [DOI] [PubMed] [Google Scholar]
  • 18.Buckley NA, Dawson AH, Whyte IM, O’Connell DL. Relative toxicity of benzodiazepines in overdose. BMJ. 1995;310(6974):219–221. doi: 10.1136/bmj.310.6974.219. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Gaudreault P, Guay J, Thivierge RL, Verdy I. Benzodiazepine poisoning: clinical and pharmacological considerations and treatment. Drug Saf. 1991;6(4):247–265. doi: 10.2165/00002018-199106040-00003. [DOI] [PubMed] [Google Scholar]

Articles from American Journal of Public Health are provided here courtesy of American Public Health Association

RESOURCES