Abstract
Background
The distribution of take-home naloxone (THN) kits has been an important strategy in reducing overdose fatalities among people who use drugs. However, little is known about the use of THN among youth who are street-involved. The present study explores knowledge and possession of THN among street-involved youth in a Canadian setting.
Methods
Data were derived from the At-Risk Youth Study (ARYS), a prospective cohort of street-involved youth age 14–28 at enrollment in Vancouver, Canada. Participants completed a standardized questionnaire, which included items related to knowledge and possession of THN, sociodemographic characteristics, and substance use-related factors. Multivariable logistic regression models were used to identify factors independently associated with knowledge and possession of THN.
Results
Between December 2014 and November 2016, 177 youth were interviewed, including 68 females (38.4%). While 126 (71.2%) participants reported knowledge of THN, only 40 (22.6%) possessed a THN kit. Caucasian/white ethnicity was found to be positively associated with both knowledge and possession of THN (both p < 0.05). Public injection drug use in the last 6 months was found to be positively associated with knowledge of THN, while daily heroin use and daily methamphetamine use were associated with possession of THN (all p < 0.05). Male gender was negatively associated with possession of THN (p < 0.05).
Conclusions
These findings highlight important gaps between knowledge and possession of THN among youth and the need to increase participation in THN programs among specific populations including non-white and male youth. Further research is needed to gain a better understanding of the barriers that may prevent certain youth from acquiring THN kits.
Keywords: Street youth, Urban context, Harm reduction, Opioid use, Naloxone
Background
North America is in the midst of an escalating overdose epidemic. Increases in overdose deaths have been driven by both prescription and non-prescription opioids in the past two decades, with a 200% increase in the rate of opioid-related overdose deaths reported in the United States (U.S.) since the year 2000 [1]. In British Columbia (B.C.), illicit drug overdose deaths increased by 49% from 2016 to September 2017, and many of these deaths involved opioids [2]. In addition, the rate of overdose deaths involving synthetic opioids other than methadone, such as fentanyl, increased by 80% from 2013 to 2014 in the U.S. [1]. Fentanyl was detected in 68% of illicit drug overdose deaths in 2016 in B.C., and these rates are increasing: preliminary data suggests that the proportion of illicit drug overdose deaths for which fentanyl was detected was 83% from January to September 2017 [2]. Opioid use is also a concern among youth: while there is little national Canadian data on opioid use among youth, one study using survey data from a nationally representative sample of youth aged 10–18 in the U.S. found the 30-day prevalence of opioid use to be 4.8% from 2008 to 2011 [3].
Take-home naloxone (THN) programs, such as B.C.’s Take Home Naloxone program [4] and the Overdose Education and Nasal Naloxone Distribution program (OEND) in Massachusetts [5], have been important strategies in reducing overdose deaths among persons who use drugs. Naloxone is an opioid antagonist used to temporarily reverse the effects of an overdose [6]. Naloxone distribution programs provide participants with naloxone in a packaged kit and also provide training on how to recognize and respond to an opioid-related overdose, including administration of naloxone [6]. In 2016, THN programs were operational in seven of Canada’s 13 provinces and territories [6]. Similar programs have also been implemented in Asia, Australia, Europe, and the U.S. [7]. A recent systematic review suggested that THN programs are effective in reducing overdose mortality rates in program participants and in the community [8], with little risk involved in its administration [9]. However, there is evidence that younger people who use drugs (PWUD) are less likely to access harm reduction services than older PWUD [10–12], which raises concerns about the uptake of THN among youth.
Previous studies have evaluated THN program implementation in various settings [13–15]. One study examining the perceptions of homeless and precariously housed youth regarding the THN program in Vancouver, B.C., found that participants reported positive experiences with THN programs—such as increased sense of safety and improved self-esteem—and expressed the importance of increasing access to THN programs [16]. In addition, in a 1999 study assessing the possible impact and acceptability of a THN program in South London, 89% of participants who had witnessed an overdose fatality reported that they would have administered naloxone if it had been available [17]. However, to our knowledge, there have been no quantitative reports of participation rates in THN programs, or of the factors associated with participation, among youth who are street-involved.
Drawing on a prospective cohort study of street-involved youth in a Canadian setting, we undertook the present study to identify sociodemographic and substance use-related factors associated with knowledge and possession of THN among street-involved youth in Vancouver, B.C. Vancouver is home to one of Canada’s largest and longest operational provincial THN programs: the program was launched in 2012 and has since distributed over 54,000 kits, with a significant increase in distribution since 2016 (from 3394 kits in 2015 to 22,494 kits in 2016) [4]. B.C.’s THN program targets people who are at risk of an opioid overdose and people who are likely to witness and respond to an overdose (e.g., family or friend of someone at risk) [4].
Methods
The At-Risk Youth Study (ARYS) is an open prospective cohort study of street-involved youth who use illicit drugs based in Vancouver, Canada. Youth aged 14–28 who have used any illicit drug (other than or in addition to cannabis) in the preceding 30 days are eligible for study enrollment. Recruited youth are street-involved at baseline, defined as having been without stable housing or having accessed street-based services in the preceding 6 months [18–20]. Street-based outreach is used to enhance study recruitment both during daytime and nighttime hours in a range of neighborhoods throughout Vancouver where street youth are known to congregate. Snowball sampling is also used to maximize study enrollment. After providing informed consent, participants complete an interviewer-administered questionnaire regarding sociodemographic and socioeconomic details, engagement with health and social services, substance use patterns, and other behavioral data. All participants are provided with monetary compensation for their time ($30 CAN). ARYS is approved by the University of British Columbia and Providence Health Care Research Ethics Board. The study has been described in more detail in previous publications [21].
Questions regarding THN were added to the cohort questionnaire in December 2014. The present analysis draws on baseline data from all ARYS participants who completed a study visit between December 2014 and November 2016. Knowledge and possession of THN were the main outcomes of interest and were ascertained through the following questions: “Have you heard about a take-home Narcan rescue kit that you can keep with you for an opiate overdose?” and “Do you currently own a take-home Narcan rescue kit?” Individuals who responded “yes” versus “no” to these questions were compared using logistic regression as described below.
Explanatory variables of interest were chosen a priori based on what we hypothesized might increase awareness and possession of THN. We examined the following explanatory variables: age (continuous, per year older), gender (male vs. female); residing in Vancouver’s Downtown Eastside (DTES) neighborhood in the last 6 months [a district with an open drug market as well as high levels of substance use, poverty, and homelessness] (yes vs. no); ever absolutely homeless (yes vs. no); education status (high school or greater vs. other); employment in the last 6 months (yes vs. no); daily heroin use in the last 6 months (yes vs. no); daily methamphetamine use in the last 6 months (yes vs. no); daily prescription opioid use in the last 6 months (yes vs. no); daily cocaine or crack use in the last 6 months (yes vs. no); public injection drug use in the last 6 months (yes vs. no); ever non-fatal overdosed [negative reaction from using too much drugs] (yes vs. no); incarceration in the last 6 months, defined as being in detention, prison, or jail overnight or longer (yes vs. no); unable to access addiction treatment, defined as responding affirmatively to the question: “In the past 6 months, have you tried to access any treatment program but were unable?” (yes vs. no); currently in methadone/methadose treatment (yes vs. no); and been in alcohol or drug treatment in last 6 months (yes vs. no).
Initially, we examined the descriptive characteristics, stratified by our two outcomes of interest (i.e., knowledge and possession of THN) at the first study visit. Next, we examined the bivariable associations between each explanatory variable and our two outcomes of interest using logistic regression. As a last step, we fitted multivariable models, considering all variables in bivariable analyses as the full model. All statistical analyses were performed using R, version 3.2.4 (R Foundation for Statistical Computing, Vienna, Austria). All p values were two-sided, and tests were considered significant at p < 0.05 level.
Results
Between December 2014 and November 2016, a total of 177 participants completed a baseline survey: 3 (1.7%) completed a survey in 2014, 60 (33.9%) completed a survey in 2015, and 114 (64.4%) completed a survey in 2016. Among this sample, 68 (38.4%) identified as female, 97 (54.8%) identified as Caucasian/white, and the median age was 22.1 years (inter-quartile range [IQR] = 20.2–23.4 years). Overdose was common in our study sample, with 81 (45.8%) participants having ever experienced a non-fatal overdose.
Table 1 reports baseline characteristics of all participants stratified by our two main outcomes of interest. As shown, 126 (71.2%) study participants reported knowledge of THN, while 40 (22.6%) reported possession of a THN kit. In addition, when stratified by year, 34 participants (54%) reported knowledge of THN in 2014 and 2015 (combined), while 92 participants (80.7%) reported knowledge of THN in 2016. Six participants (9.5%) reported possession of THN in 2014 and 2015 (combined), while 34 participants (29.8%) reported ownership of THN in 2016.
Table 1.
Knowledge of THN | Possession of THN | |||
---|---|---|---|---|
Characteristic | Yes (%) n = 126 |
No (%) n = 51 |
Yes (%) n = 40 |
No (%) n = 137 |
Sociodemographic characteristics | ||||
Median age (Q1–Q3)a | 22.2 (20.2–23.4) | 21.9 (19.6–23.4) | 22.1 (20.1–23.7) | 22.1 (20.2–23.4) |
Male gender | 73 (57.9) | 36 (70.6) | 15 (37.5) | 94 (68.6) |
White ethnicity | 78 (61.9) | 19 (37.3) | 29 (72.5) | 68 (49.6) |
Downtown Eastside residenceb | 33 (26.2) | 14 (27.5) | 8 (20.0) | 39 (28.5) |
Ever absolutely homeless | 116 (92.1) | 41 (80.4) | 36 (90.0) | 121 (88.3) |
High school completion | 58 (46.0) | 26 (51.0) | 20 (50.0) | 64 (46.7) |
Employmentb | 29 (23.0) | 14 (27.5) | 10 (25.0) | 33 (24.1) |
Incarcerationb | 22 (17.5) | 4 (7.8) | 6 (15.0) | 20 (14.6) |
Substance use-related factors | ||||
Daily heroin useb | 44 (34.9) | 6 (11.8) | 20 (50.0) | 30 (21.9) |
Daily cocaine or crack useb | 4 (3.2) | 6 (11.8) | 1 (2.5) | 9 (6.6) |
Daily methamphetamine useb | 37 (29.4) | 12 (23.5) | 17 (42.5) | 32 (23.4) |
Daily use of prescription opioidsb | 10 (7.9) | 2 (3.9) | 1 (2.5) | 11 (8.0) |
Public injectingb | 61 (48.4) | 7 (13.7) | 22 (55.0) | 46 (33.6) |
Ever overdosed | 61 (48.4) | 20 (39.2) | 20 (50.0) | 61 (44.5) |
Drug or alcohol treatmentb | 77 (61.1) | 22 (43.1) | 27 (67.5) | 72 (52.6) |
Unable to access addiction treatmentb | 28 (22.2) | 4 (7.8) | 7 (17.5) | 25 (18.2) |
aQ1–Q3 = 25th–75th percentiles
bIn the last 6 months
Table 2 shows the results of the bivariable and multivariable analyses for knowledge of THN. In bivariable analyses, factors positively associated with knowledge of THN included Caucasian/white ethnicity, ever homeless, daily heroin use, public injection drug use, recent engagement in drug or alcohol treatment, and inability to access addiction treatment. Daily cocaine or crack use was negatively associated with knowledge of THN. In multivariable analyses, Caucasian/white ethnicity (adjusted odds ratio [AOR] = 2.36, 95% confidence interval [CI] 1.02–5.61) and public injection drug use (AOR = 5.61, 95% CI 1.90–19.12) remained independently positively associated with knowledge of THN. Daily cocaine or crack use (AOR = 0.09, 95% CI 0.01–0.59) remained independently negatively associated with knowledge of THN.
Table 2.
Characteristics | Unadjusted | Adjusted | ||
---|---|---|---|---|
Odds ratio (95% CI) |
p value | Odds ratio (95% CI) |
p value | |
Age (per year younger) | 1.06 (0.94–1.20) | 0.352 | 1.05 (0.88–1.26) | 0.587 |
Gender (male vs. female) | 0.57 (0.28–1.14) | 0.119 | 0.61 (0.24–1.49) | 0.283 |
White ethnicity (yes vs. no) | 2.74 (1.41–5.43) | 0.003 | 2.36 (1.02–5.61) | 0.047 |
Downtown Eastside residencea (yes vs. no) | 0.94 (0.46–1.99) | 0.863 | 0.43 (0.15–1.19) | 0.108 |
Ever homeless (yes vs. no) | 2.83 (1.09–7.38) | 0.031 | 1.99 (0.54–7.34) | 0.297 |
High school completion (yes vs. no) | 0.82 (0.43–1.57) | 0.551 | 0.94 (0.40–2.20) | 0.883 |
Employmenta (yes vs. no) | 0.79 (0.38–1.69) | 0.534 | 0.91 (0.36–2.37) | 0.842 |
Incarcerationa (yes vs. no) | 2.43 (0.87–8.67) | 0.120 | 1.84 (0.50–8.08) | 0.380 |
Daily heroin usea (yes vs. no) | 4.02 (1.70–11.17) | 0.003 | 2.37 (0.73–9.03) | 1.171 |
Daily cocaine or crack usea (yes vs. no) | 0.25 (0.06–0.90) | 0.036 | 0.09 (0.01–0.59) | 0.016 |
Daily methamphetamine usea (yes vs. no) | 1.35 (0.65–2.95) | 0.433 | 0.70 (0.26–1.90) | 0.477 |
Daily use of prescription opioidsa (yes vs. no) | 2.11 (0.53–14.07) | 0.346 | 1.38 (0.17–18.75) | 0.784 |
Public injectinga (yes vs. no) | 6.09 (2.69–15.72) | < 0.001 | 5.61 (1.90–19.12) | 0.003 |
Ever overdosed (yes vs. no) | 1.41 (0.73–2.77) | 0.314 | 0.76 (0.32–1.76) | 0.522 |
Unable to access addiction treatmenta (yes vs. no) | 3.29 (1.20–11.58) | 0.035 | 3.41 (1.02-14.10) | 0.062 |
Drug or alcohol treatmenta (yes vs. no) | 2.00 (1.03–3.91) | 0.041 | 1.71 (0.71–4.19) | 0.235 |
CI confidence interval
aIn the last 6 months
Table 3 shows the results of the bivariable and multivariable analyses for possession of THN. In bivariable analyses, factors positively associated with possession of THN included: Caucasian/white ethnicity; daily heroin use; daily methamphetamine use; and public injection drug use. Male gender was negatively associated with possession of THN. In multivariable analyses, Caucasian/white ethnicity (AOR = 2.51, 95% CI 1.02–6.51), daily heroin use (AOR = 3.08, 95% CI 1.09–9.11), and daily methamphetamine use (AOR = 2.99, 95% CI 1.13–8.13) remained independently positively associated with possession of THN. Male gender (AOR = 0.29, 95% CI 0.11–0.72) remained independently negatively associated with possession of THN.
Table 3.
Characteristics | Unadjusted | Adjusted | ||
---|---|---|---|---|
Odds ratio (95% CI) |
p value | Odds ratio (95% CI) |
p value | |
Age (per year younger) | 1.04 (0.90–1.20) | 0.610 | 1.05 (0.88–1.25) | 0.627 |
Gender (male vs. female) | 0.27 (0.13–0.57) | 0.001 | 0.29 (0.11–0.72) | 0.008 |
White ethnicity (yes vs. no) | 2.68 (1.27–5.99) | 0.012 | 2.51 (1.02–6.51) | 0.049 |
Downtown Eastside residencea (yes vs. no) | 0.63 (0.25–1.43) | 0.289 | 0.38 (0.11–1.14) | 0.097 |
Ever homeless (yes vs. no) | 1.19 (0.41–4.35) | 0.768 | 1.25 (0.31–6.00) | 0.767 |
High school completion (yes vs. no) | 1.14 (0.56–2.32) | 0.714 | 1.37 (0.54–3.54) | 0.508 |
Employmenta (yes vs. no) | 1.05 (0.45–2.32) | 0.906 | 1.23 (0.44–3.31) | 0.685 |
Incarcerationa (yes vs. no) | 1.02 (0.35–2.62) | 0.963 | 0.80 (1.19–2.96) | 0.748 |
Daily heroin usea (yes vs. no) | 3.57 (1.70–7.54) | 0.001 | 3.08 (1.09–9.11) | 0.036 |
Daily cocaine or crack usea (yes vs. no) | 0.36 (0.02–2.03) | 0.346 | 0.25 (0.01–2.43) | 0.295 |
Daily methamphetamine usea (yes vs. no) | 2.43 (1.15–5.09) | 0.019 | 2.99 (1.13–8.13) | 0.028 |
Daily use of prescription opioidsa (yes vs. no) | 0.29 (0.02–1.58) | 0.248 | 0.20 (0.01–1.36) | 0.161 |
Public injectinga (yes vs. no) | 2.53 (1.23–5.29) | 0.012 | 1.55 (0.55–4.32) | 0.403 |
Ever overdosed (yes vs. no) | 1.23 (0.61–2.50) | 0.566 | 0.63 (0.24–1.58) | 0.336 |
Unable to access addiction treatmenta (yes vs. no) | 0.94 (0.35–2.28) | 0.899 | 0.77 (0.22–2.47) | 0.671 |
Drug or alcohol treatmenta (yes vs. no) | 1.85 (0.89–3.98) | 0.106 | 1.47 (0.58–3.82) | 0.419 |
CI confidence interval
aIn the last 6 months
Discussion
In the present study of street-involved youth, we observed an important gap between reported knowledge of THN programs and reported possession of THN kits. We also found an increase in the rates of both knowledge and possession of THN that parallels the increase in THN distribution that occurred in 2016. Caucasian/white ethnicity was the only variable found to be independently positively associated with both knowledge and ownership of THN. Public injection drug use was independently positively associated with THN knowledge, while daily cocaine or crack use was independently negatively associated with THN knowledge. In addition, daily heroin and methamphetamine use were independently positively associated with THN ownership, while male gender was independently negatively associated with THN ownership.
Our findings build on a qualitative study conducted in Vancouver, B.C., which found THN programs to be generally well-received among street-involved youth, though the study did not assess rates of uptake in this population [16]. Our findings also build on previous studies that have examined knowledge of and participation in THN programs among PWUD [8, 22]. One recent study examining THN participation among adult PWUD in Vancouver, B.C., also identified an alarming gap between the rates of knowledge and possession of THN [22]. One likely explanation for this gap is an underestimation of overdose risk (both personal and witnessed) among PWUD. There is in fact evidence that PWUD are likely to underestimate their own risk of opioid overdose [23], which has been identified as a major barrier to THN ownership among adult PWUD [22]. Interestingly, one study in the U.S. found that people who use opioids reported their desire to help an overdosing peer to be a bigger motivation for THN enrollment than a fear of personal overdose [24], further suggesting that PWUD tend to underestimate their risk of personal overdose and may also be underestimating their risk of witnessing an overdose. It is also possible that some youth did not participate in the THN program due to perceived ineligibility (at the time of data collection only individuals considered high-risk for witnessing or experiencing an overdose received free kit following administration training), though this is unlikely due to the high-risk study population, as well as the high rates of non-fatal overdose among this sample of youth. Nolan et al.’s [22] study of adult PWUD identified even lower rates of THN possession (13%) than those reported in our sample of young PWUD (22.5%). This may partially be explained by the fact that naloxone distribution increased significantly in 2016; Nolan et al.’s [22] study used data from 2014 to 2015 only, while the current study included data from participants who completed a questionnaire in 2016. However, it is also worth noting that Vancouver’s THN program targeted youth through the distribution of THN in emergency departments as well as youth-centered promotional activities [25], which may have contributed to higher rates of uptake among youth.
Public injection, heroin use, and methamphetamine use have all been associated with non-fatal overdose [26, 27] and were also associated with THN knowledge or possession in the present study. This may suggest that certain forms of high-intensity drug use can prompt THN participation. The present study also found that cocaine or crack use was negatively associated with THN knowledge, which could be explained by a lower perceived risk of opioid-related overdose among people who use crack or cocaine when compared to people who use opioids. Because naloxone only reverses the effects of opioid-related overdoses (and not overdoses caused by cocaine or crack), naloxone kit acquisition may seem irrelevant to youth who do not use opioids daily. However, all street-involved youth are at risk of witnessing an overdose due to the high rates of daily opioid use and non-fatal overdose in their environment [28], and one study of youth who inject drugs found that “speedball” (a mixture of heroin and cocaine) use was associated with an increased risk of overdose [29]. In addition, fentanyl-detected deaths in B.C. often involve the use of other illicit drugs [2], though it remains unclear what proportion of these deaths can be attributed to fentanyl contamination and polysubstance use. As such, all street-involved youth who use illicit drugs would be important THN owners, and youth who use cocaine or crack may benefit from targeted educational and marketing efforts to increase THN participation.
A recent meta-analysis found male gender to be one of the factors most strongly associated with drug overdose death [30], and in B.C., males accounted for 83% of all illicit drug overdose deaths from January to September 2017 [2]. However, male gender was negatively associated with THN ownership in the current study. This highlights the need to target male youth in THN programs, who may face sociocultural barriers to accessing THN programs not experienced by male adult PWUD. There is in fact evidence that male adolescents and young adults are less likely than their female counterparts to access health services due to stigma, as well as gender, social, and cultural norms [31, 32]. The same meta-analysis also found Caucasian/white ethnicity to be positively associated with drug overdose death [30]. In the present study, Caucasian/white ethnicity was positively associated with both knowledge and possession of THN, which is consistent with what has been found in the literature of adult PWUD [22]. However, in B.C., First Nations individuals are at increased risk of fatal overdose compared to the general population [33]. First Nations individuals, and other non-white individuals who may be more vulnerable to overdose, may then also benefit from targeted strategies to improve their access to THN.
There are limitations to this study. First, because this is a cross-sectional study, we are unable to infer causation. Second, because there are no registries of street youth to draw upon, our sample was not randomly selected and therefore may not be representative of all street youth in Vancouver. However, we note that the characteristics of the ARYS sample are similar to those from other studies of high-risk youth [34–36]. Third, we relied on self-report, which may have been subject to response biases, including recall bias and socially desirable responding, though we know of no reason why this would explain the associations we identified in this study. Fourth, due to our smaller sample size, we were not able to include data related to witnessed overdose and naloxone administration, which may have influenced the results of our multivariate analyses. We also did not ask youth about their reasons for not owning kits, or whether those who reported THN possession carried the kits with them. Lastly, our study included pre-2016 data, after which THN distribution increased significantly. Our results demonstrate an increase in THN uptake that parallels the program’s expansion; however, current rates of THN uptake may be continuing to rise.
Conclusions
To our knowledge, this is the first study to examine sociodemographic characteristics and substance use-related factors of street-involved youth who are familiar with and have acquired THN kits and the first to evaluate the rates of knowledge and possession of THN in this population. The findings of the present study highlight the need to increase knowledge of and access to THN among all street-involved youth who use illicit drugs, particularly among local populations found to be among the highest risk of fatal overdose. Specifically, these findings suggest that males, people who do not identify as “Caucasian/white,” and people who use crack or cocaine would benefit from targeted approaches to improve their access to THN programs. Future research should focus on examining interventions that aim to address barriers to THN acquisition among those currently underrepresented in THN programs.
Acknowledgements
The authors thank the study participants for their contribution to the research, as well as current and past researchers and staff.
Funding
The study was supported by the US National Institutes of Health (U01DA038886) and the Canadian Institutes of Health Research (MOP–102742). Dr. Kora DeBeck is supported by a MSFHR/St. Paul’s Hospital Foundation–Providence Health Care Career Scholar Award and a Canadian Institutes of Health Research New Investigator Award. This research was undertaken, in part, thanks to funding from the Canada Research Chairs program through a Tier 1 Canada Research Chair in Inner City Medicine which supports Dr. Evan Wood.
Availability of data and materials
The data used for this study is not publicly available. For further information on the data and materials used in this study, please contact the corresponding author.
Abbreviations
- AOR
Adjusted odds ratio
- ARYS
At-Risk Youth Study
- B.C.
British Columbia
- CI
Confidence interval
- DTES
Downtown Eastside
- OEND
Overdose Education and Nasal Naloxone Distribution program
- OR
Odds ratio
- PWUD
People who use drugs
- THN
Take-home naloxone
- U.S.
United States
Authors’ contributions
JGH, KD, and TK conceptualized the study design. EN performed the statistical analyses, and JGH and TK interpreted the results. JGH drafted the initial manuscript. TK, KD, JB, and EW provided substantial revisions of the manuscript and guidance throughout the writing. All authors have read and approved the final manuscript.
Ethics approval and consent to participate
The At-Risk Youth Study has been approved by the Providence Health Care/University of British Columbia’s Ethics Board. All participants provided informed consent prior to participating in this study.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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;64:1378–1382. doi: 10.15585/mmwr.mm6450a3. [DOI] [PubMed] [Google Scholar]
- 2.British Columbia Coroners Service . Illicit drug overdose deaths in BC. 2017. [Google Scholar]
- 3.Osborne V, Serdarevic M, Crooke H, Striley C, Cottler LB. Non-medical opioid use in youth: gender differences in risk factors and prevalence. Addict Behav. 2017;72:114–119. doi: 10.1016/j.addbeh.2017.03.024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Toward the Heart: Take home naloxone. http://towardtheheart.com/naloxone. Accessed 15 Aug 2017.
- 5.Walley AY, Xuan Z, Hackman HH, Quinn E, Doe-Simkins M, Sorensen-Alawad A, Ruiz S, Ozonoff A. Opioid overdose rates and implementation of overdose education and nasal naloxone distribution in Massachusetts: interrupted time series analysis. BMJ. 2013; 10.1136/bmj.f174. [DOI] [PMC free article] [PubMed]
- 6.Canadian Centre on Substance Abuse . The availability of take home naloxone in Canada. 2016. [Google Scholar]
- 7.United Nations Office on Drug and Crime, World Health Organization . Opioid overdose: preventing and reducing opioid overdose mortality. 2013. [Google Scholar]
- 8.McDonald R, Strang J. Are take-home naloxone programmes effective? Systematic review utilizing application of the Bradford Hill criteria. Addiction. 2016;111:1177–1187. doi: 10.1111/add.13326. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.van Dorp ELA, Yassen A, Dahan A. Naloxone treatment in opioid addiction: the risks and benefits. Expert Opin Drug Saf. 2007;6:125–132. doi: 10.1517/14740338.6.2.125. [DOI] [PubMed] [Google Scholar]
- 10.McAuley A, Munro A, Bird SM, Hutchinson SJ, Goldberg DJ, Taylor A. Engagement in a National Naloxone Programme among people who inject drugs. Drug Alcohol Depend. 2016;162:236–240. doi: 10.1016/j.drugalcdep.2016.02.031. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Merkinaite S, Grund JP, Frimpong A. Young people and drugs: next generation of harm reduction. Int J Drug Policy. 2010;21:112–114. doi: 10.1016/j.drugpo.2009.11.006. [DOI] [PubMed] [Google Scholar]
- 12.Krug A, Hildebrand M, Sun N. “We don’t need services. We have no problems”: exploring the experiences of young people who inject drugs in accessing harm reduction services. J Int AIDS Soc. 2015;18:19442. doi: 10.7448/IAS.18.2.19442. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Panther SG, Bray BS, White JR. The implementation of a naloxone rescue program in university students. J Am Pharm Assoc. 2017; 10.1016/j.japh.2016.11.002. [DOI] [PubMed]
- 14.Leece P, Gassanov M, Hopkins S, Marshall C, Millson P, Shahin R. Process evaluation of the Prevent Overdose in Toronto (POINT) program. Can J Public Health. 2016;107:e224–e230. doi: 10.17269/cjph.107.5480. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Kestler A, Buxton J, Meckling G, Giesler A, Lee M, Fuller K, Quian H, Marks D, Scheuermeyer F. Factors associated with participation in an emergency department-based take-home naloxone program for at-risk opioid users. Ann Emerg Med. 2017;69:340–346. doi: 10.1016/j.annemergmed.2016.07.027. [DOI] [PubMed] [Google Scholar]
- 16.Mitchell K, Durante SE, Pellatt K, Richardson CG, Mathias S, Buxton JA: Naloxone and the Inner City Youth Experience (NICYE): a community-based participatory research study examining young people’s perceptions of the BC take home naloxone program. 2017. Harm Reduct J. 2017. doi:10.1186/s12954-017-0160-3. [DOI] [PMC free article] [PubMed]
- 17.Strang J, Powis B, Best D, Vingoe L, Griffiths P, Taylor C, Welch S, Gossop M. Preventing opiate overdose fatalities with take-home naloxone: pre-launch study of possible impact and acceptability. Addiction. 1999;94:199–204. doi: 10.1046/j.1360-0443.1999.9421993.x. [DOI] [PubMed] [Google Scholar]
- 18.Boivin JF, Roy E, Haley N, Galbaud du Fort G. The health of street youth: a Canadian perspective. Can J Public Health. 2005;96:432–437. doi: 10.1007/BF03405183. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.DeMatteo D, Major C, Block B, Coates R, Fearon M, Goldberg E, King SM, Millson M, O'Shaughnessy M, Read SE. Toronto street youth and HIV/AIDS: prevalence, demographics, and risks. J Adolesc Health. 1999;25:358–366. doi: 10.1016/S1054-139X(99)00059-2. [DOI] [PubMed] [Google Scholar]
- 20.Kerr T, Marshall BD, Miller C, Shannon K, Zhang R, Montaner JS, Wood E. Injection drug use among street-involved youth in a Canadian setting. BMC Public Health. 2009;9:171. doi: 10.1186/1471-2458-9-171. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Wood E, Stoltz JA, Montaner JS, Kerr T. Evaluating methamphetamine use and risks of injection initiation among street youth: the ARYS study. Harm Reduct J. 2006;3:18. doi: 10.1186/1477-7517-3-18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Nolan S, Buxton J, Dobrer S, Dong H, Hayashi K, Milloy MJ, Kerr T, Montaner J, Wood E. Awareness, possession, and use of take-home naloxone among illicit drug users, Vancouver, British Columbia, 2014-2015. Public Health Rep. 2017; 10.1177/0033354917717230. [DOI] [PMC free article] [PubMed]
- 23.McGregor C, Darke S, Ali R, Christie P. Experience of non-fatal overdose among heroin users in Adelaide, Australia: circumstances and risk perceptions. Addiction. 1998;93:701–711. doi: 10.1046/j.1360-0443.1998.9357016.x. [DOI] [PubMed] [Google Scholar]
- 24.Worthington N, Markham Piper T, Galea S, Rosenthal D. Opiate users’ knowledge about overdose prevention and naloxone in New York City: a focus group study. Harm Reduct J. 2006;3:19. doi: 10.1186/1477-7517-3-19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Toward the Heart: Naloxone wakes you up. http://towardtheheart.com/ezine/. Accessed 5 Sept 2017.
- 26.Fairbairn N, Wood E, Stoltz J-A, Li K, Montaner J, Kerr T. Crystal methamphetamine use associated with non-fatal overdose among a cohort of injection drug users in Vancouver. Public Health. 2008;122:70–78. doi: 10.1016/j.puhe.2007.02.016. [DOI] [PubMed] [Google Scholar]
- 27.Kerr T, Fairbairn N, Tyndall M, Marsh D, Li K, Montaner J, Wood E. Predictors of non-fatal overdose among a cohort of polysubstance-using injection drug users. Drug Alcohol Depend. 2007;87:39–45. doi: 10.1016/j.drugalcdep.2006.07.009. [DOI] [PubMed] [Google Scholar]
- 28.Werb D, Kerr T, Lai C, Montaner J, Wood E. Nonfatal overdose among a cohort of street-involved youth. J Adolesc Health. 2008;42:303–306. doi: 10.1016/j.jadohealth.2007.09.021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Ochoa KC, Hahn JA, Seal KH, Moss AR. Overdosing among young injection drug users in San Francisco. Addict Behav. 2001;26:453–460. doi: 10.1016/S0306-4603(00)00115-5. [DOI] [PubMed] [Google Scholar]
- 30.Brady JE, Giglio R, Keyes KM, DiMaggio C, Li G. Risk markers for fatal and non-fatal prescription drug overdose: a meta-analysis. Inj Epidemiol. 2017;4:24. doi: 10.1186/s40621-017-0118-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Chandra A, Minkovitz CS. Stigma starts early: gender differences in teen willingness to use mental health services. J Adolesc Health. 2006; 10.1016/j.jadohealth.2005.08.011. [DOI] [PubMed]
- 32.Marcell AV, Klein JD, Fischer I, Allan MJ, Kokotailo PK. Male adolescent use of health care services: where are the boys? J Adolesc Health. 2002;30:35–43. doi: 10.1016/S1054-139X(01)00319-6. [DOI] [PubMed] [Google Scholar]
- 33.Milloy MJ, Wood E, Reading C, Kane D, Montaner J, Kerr T. Elevated overdose mortality rates among First Nations individuals in a Canadian setting: a population-based analysis. Addiction. 2010;105:1962–1970. doi: 10.1111/j.1360-0443.2010.03077.x. [DOI] [PubMed] [Google Scholar]
- 34.Evans JL, Hahn JA, Lum PJ, Stein ES, Page K. Predictors of injection drug use cessation and relapse in a prospective cohort of young injection drug users in San Francisco, CA (UFO study) Drug Alcohol Depend. 2009;101:152–157. doi: 10.1016/j.drugalcdep.2008.12.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Ochnio JJ, Patrick D, Ho M, Talling DN, Dobson SR. Past infection with hepatitis A virus among Vancouver street youth, injection drug users and men who have sex with men: implications for vaccination programs. CMAJ. 2001;165:293–297. [PMC free article] [PubMed] [Google Scholar]
- 36.Steensma C, Boivin JF, Blais L, Roy E. Cessation of injecting drug use among street-based youth. J Urban Health. 2005;82:622–637. doi: 10.1093/jurban/jti121. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The data used for this study is not publicly available. For further information on the data and materials used in this study, please contact the corresponding author.