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Intention to seek emergency medical services during community overdose events in British Columbia, Canada: a cross-sectional survey



Canada and the United States continue to experience increasing overdose deaths attributed to highly toxic illicit substances, driven by fentanyl and its analogues. Many bystanders report being hesitant to call 9-1-1 at an overdose due to fears around police presence and arrests. In Canada, a federal law was enacted in 2017, the Good Samaritan Drug Overdose Act (GSDOA), to provide protection from simple drug possession and related charges when 9-1-1 is called to an overdose. There is limited evidence, however, that the GSDOA has improved rates of intention to call 9-1-1 at overdose events. We therefore sought to examine intent to call 9-1-1 among persons who received GSDOA education and were at risk of witnessing an overdose.


A cross-sectional survey was conducted with people at risk of witnessing an overdose recruited at 19 Take Home Naloxone (THN) program sites across British Columbia as well as online through Foundry from October 2020 to April 2021. Descriptive statistics were used to examine intention to call 9-1-1 at future overdoses. Multivariable logistic regression models were built in hierarchical fashion to examine factors associated with intention to call 9-1-1.


Overall, 89.6% (n = 404) of the eligible sample reported intention to call 9-1-1. In the multivariable model, factors positively associated with intention to call 9-1-1 included identifying as a cisgender woman (adjusted odds ratio [AOR]: 3.37; 95% CI: 1.19–9.50) and having previous GSDOA awareness ([AOR]: 4.16; 95% CI: 1.62–10.70). Having experienced a stimulant overdose in the past 6 months was negatively associated with intention to call 9-1-1 ([AOR]: 0.24; 95% CI: 0.09–0.65).


A small proportion of the respondents reported that, despite the enactment of GSDOA, they did not intend to call 9-1-1 and those who were aware of the act were more likely to report an intention to call at future overdose events. Increasing GSDOA awareness and/or additional interventions to support the aims of the GSDOA could address ongoing reluctance to seek emergency medical care by people who use drugs.


Canada and the United States (US) have experienced an increasingly pervasive overdose crisis over recent years [1, 2]. During the 12-month period, ending in April 2021, the US recorded 100,306 overdose deaths [3]. In 2021, Canada also noted a record high in overdose deaths with 5368 apparent opioid toxicity (overdose) deaths occurring between January–September 2021 [4]. The province of British Columbia (BC) has consistently reported the highest rates of illicit drug toxicity (overdose) deaths of any province in Canada since 2016 [1]. Contamination of the illicit drug supply with fentanyl (a synthetic opioid) and its analogues have been key drivers of the crisis [5]. The detected presence of fentanyl among illicit drug toxicity deaths increased from 5% in 2012 to 85% in 2020, which coincides with a more than five-fold increase in illicit drug toxicity deaths over the same period of time [6].

Since BC declared a public health emergency due to illicit drug toxicity deaths in April 2016 [7], a key aspect of the public health response has been to expand the distribution of naloxone, an inhibitor of μ-opioid receptors that can reverse the respiratory depression associated with an opioid-induced overdose [8], through the community-based Take Home Naloxone (THN) program [9]. As of August 2021, there are 1884 active THN distribution sites in BC, which include: harm reduction sites (e.g., harm reduction supply distribution sites and observed consumption sites) [10], hospitals (i.e., all emergency departments), provincial correctional facilities for people on release, community pharmacies, and other sites frequented by people who use substances [11]. These sites provide overdose prevention, recognition, and response training along with low-barrier access to naloxone kits at no cost to individuals at risk of witnessing an overdose. Alongside administering naloxone, THN training emphasizes calling an emergency number, 9-1-1, to alert emergency medical services (EMS) as one of the primary responses to an overdose. Seeking medical services is particularly important, given potent opioids can have a longer duration of effect than naloxone, and there is a risk of reverting back into a state of overdose even after receiving naloxone or experiencing other adverse effects of overdose [12,13,14].

Despite recommendations to call 9-1-1 when witnessing an overdose, studies in BC have found that bystanders often delay or avoid contacting EMS, with 9-1-1 being called about half of the time [15, 16]. Some of the most commonly reported deterrents to calling 9-1-1 include fears of arrest, general concern of police involvement, previous negative experiences with first responders, and fears around losing housing or custody of children [17,18,19,20]. Fears and concerns are especially prominent in youth as studies have found they are more commonly targeted by police compared to adults and are likely to perceive police authority as negative and unpredictable [21,22,23]. In BC, interventions to reduce these barriers included a regional policy put in place by the Vancouver Police Department in 2006 to not attend overdose calls; this was in response to reported concerns that people did not call 9-1-1 for fear that police would attend. In June 2016, a province wide policy was initiated by BC Emergency Health Services (BCEHS) to not routinely inform police of overdoses except in cases of death, attempted suicide or when there are safety concerns for the public or for first responders [24, 25]. Research conducted in the province suggested that these policies decreased police attendance at overdoses and reduced the proportion of bystanders who reported fears of police presence as a barrier to calling 9-1-1 [15, 25]. However, the non-informing policies did not result in an increased likelihood of bystanders calling 9-1-1 [15]. To further encourage overdose bystanders to contact EMS, the Canadian federal government introduced the Good Samaritan Drug Overdose Act (GSDOA) in 2017 [26]. Under this legislation, any person at the scene of an overdose, including the person having the overdose, is protected from charges for simple possession of a controlled substance when 9-1-1 is called. Additionally, the GSDOA protects people with prior charges and conditions related to simple possession, such as breach of probation. However, the GSDOA does not provide legal protection for offences other than simple drug possession, including drug trafficking as well as other offences, such as warrants [26].

The current evidence on the effectiveness of the GSDOA and other similar drug related Good Samaritan laws in the US is limited [27]. This has been attributed, in part, to low levels of awareness and understanding of drug related Good Samaritan laws among police officers and people who use drugs (PWUD) [28,29,30,31]. Studies comparing overdose mortality across multiple states have had mixed results, where only one of three shows a significant reduction in fatal overdoses in regions where a drug related Good Samaritan law has been enacted [32,33,34]. Among PWUD and police officers in BC, there is moderate awareness of the GSDOA; however, accurate understanding of the Act is low [30, 31, 35]. Even among persons who are aware of their local drug related Good Samaritan law, attitudes and perceptions of its effectiveness are not always positive [19]. A study conducted in BC found that police officers did not have an accurate understanding of the GSDOA and reported exercising their discretion to interpret the Act, leading to inconsistencies in its implementation [31]. PWUD also face social and structural barriers to accessing health services, such as stigma and systemic discrimination, which are not accounted for by Good Samaritan laws [36,37,38].

In 2021, British Columbia’s Office of the Human Rights Commissioner released a report indicating that in BC Indigenous, Black and People of Color are disproportionately subjected to police enforcement practices and violent action from police [39]. It was concluded that systemic racism in police services and other parts of the justice system were a significant driver of these disparities. Systemic discrimination towards Indigenous, Black and People of Color from police officers is not unique to BC. There is a large body of evidence of similar racist and discriminatory policing practices in Canada, more broadly, and the US [40,41,42,43]. Indigenous, Black, People of Color who use drugs may be particularly hesitant or unwilling to call 9-1-1 in the event of an emergency due to past experiences and/or concerns around discriminatory responses (e.g. enforcement, substandard medical care, violence) from first responders, and particularly police officers, despite decriminalization under the GSDOA. While there exists limited evidence around the impact of Good Samaritan Laws and medical amnesty policies on Indigenous, Black, People of Color’s willingness to call 9-1-1 in the event of a medical emergency, some studies have found that racialized people experience more hesitancy and/or concern due to perceived risks associated with discrimination from first responders [44, 45]. Given these structural vulnerabilities and the GSDOA's limited scope, it is likely that some populations who are at risk of witnessing an overdose are not being effectively served by drug related Good Samaritan Laws despite their awareness of the law [35].

Utilizing data from a cross-sectional survey administered across 19 THN program sites in BC, our aim was to investigate factors associated with intention to call 9-1-1 among people who have received education about the GSDOA. Our findings can inform targeted initiatives to increase GSDOA awareness and address barriers to calling 9-1-1.


Study Design & Data Collection

This study used data from the BC Centre for Disease Control’s (BCCDC) GSDOA Survey, administered from October 2020 to April 2021 (See Additional File 1). A cross-sectional survey was designed collaboratively by a team of researchers, regional health authority representatives, harm reduction coordinators, people with lived and living experience (PWLLE) of substance use, youth organizations and youth representatives. The GSDOA survey was developed by adapting the annual BC Harm Reduction Client Survey [46,47,48], using similar demographic and overdose risk and response questions to allow for consistency and potential comparisons. In addition, the GSDOA survey included in-depth questions about GSDOA awareness and knowledge, experiences with first responders at overdose events and willingness to call 9-1-1 i.e. intention to call 9-1-1 at an overdose event. Survey development was an iterative process; informed by the literature, our research questions and input from adults and youth who were a risk of witnessing an overdose including advisory groups of people with lived and living experience of substance use. The paper and online surveys were piloted to ensure the questions had face validity and response options were clear. Research team members at Foundry, a provincial network of health and social services for youth, provided input throughout the study and members of the Youth4Youth advisory group provided input as youth representatives. Findings were also presented to the Métis Nation of BC as well as peer groups which include the Professionals for Ethical Engagement of Peers (PEEP) and Peer2Peer Project (P2P), and their feedback was incorporated into our analysis and interpretation of findings.

Using input from regional harm reduction coordinators, 19 THN sites with sufficient capacity (staff and physical space accounting for COVID-19 guidelines i.e. physical distancing) from across the province were invited and agreed to participate. In-person survey participants (n = 416) were provided $10 CAD and an additional $5 CAD was provided to the participating THN site for each participant enrolled. An online version of the survey was available through Qualtrics [49]. This was offered as an option to respond by THN sites and was advertised by Foundry to recruit youth participants, who were defined as 16–24 years old [50]. Persons completing the survey online (n = 77) were offered participation in a raffle for a 1 in 10 chance of obtaining a $50 VISA gift card. Eligibility criteria at THN sites were age (18 years and over) and being at risk of witnessing an overdose. This included PWLLE, peer responders and family or friends of people who use drugs as these individuals have a higher likelihood of witnessing an overdose [51,52,53]. Institutional ethics approval was obtained through the University of British Columbia’s Behavioural Research Ethics Board (# H19–01842).

Study variables

Outcome variable

The primary outcome variable for this study was “Intention to call 9-1-1 at an overdose event”. After being provided with a definition of the GSDOA (Fig. 1), participants were asked “Based on this description, if you were to witness someone overdose in the future, would you call 9-1-1?” to which they could answer one of “yes”, “no” or “prefer not to say”. Included in the question was the note “Disclaimer: We cannot guarantee that police and emergency health responders will be knowledgeable about the GSDOA and will follow the Act.

Fig. 1
figure 1

Wallet cards outlining the tenets of the GSDOA that are distributed in the community

Explanatory variables

Explanatory variables of interest included participants’ sociodemographic and substance use characteristics as well as variables that reflected participants’ GSDOA knowledge and awareness. Sociodemographic characteristics included age group (16–24, 25–34, 35–54, ≥55 years), gender (cisgender men, cisgender women, transgender and gender expansive [trans-men, trans-women, gender non-binary], prefer not to say), Indigenous identity (non-Indigenous, Indigenous [First Nations, Métis, Inuit], prefer not to say), geographic health region as defined by the five health authorities within the province (Fraser Health, Interior Health, Island Health, Northern Health, Vancouver Coastal Health), employment status (yes, no, prefer not to say), housing status (private alone, private with other(s), supportive or unstable housing [hotel, motel, rooming house, single room occupancy, shelter], homeless, prefer not to say) and cellphone possession (yes, no, prefer not to say). Due to a small number of participants reporting gender identity as “trans and gender expansive”, we excluded this group and used a binary gender identity variable of “cis man” and “cis woman” for statistical analyses, though they were retained for descriptive analysis (Table 1).

Indigenous identity is understood to act as a proxy for factors associated with colonialism including intergenerational trauma, systemic racism, criminalization and discrimination [54,55,56,57]. Descriptive analyses of First Nations, Métis, Inuit, and non-Indigenous identity were included in recognition of the heterogeneity of Indigenous peoples and their experiences (Table 1). However, Indigenous identity was dichotomized to maintain sample size in statistical analysis and regression models (Tables 2 and 3).

Prior awareness of the GSDOA was determined by asking participants if they were aware of the GSDOA before the definition of the Act was provided. To evaluate understanding of the GSDOA, a set of questions were included that had been used previously in Mehta et al. [35]. Briefly, hypothetical overdose scenarios were outlined and participants were asked true or false questions to assess their knowledge of when and to whom protection is offered under the GSDOA. Knowledge was considered “complete” if all questions were answered correctly and “incomplete” if otherwise (See Additional File 1).

To assess perceived risks of experiencing or witnessing an overdose, respondents were asked to rate the degree to which they felt at risk of these events in the previous 6 months using a Likert-type scale. Possible responses were “never”, “rarely”, “sometimes”, “often” or “all the time” which was dichotomized as “never” and “ever”. Additional collected variables on substance use and overdose experience in the last 6 months included using opioids (yes, no, prefer not to say), overdosing on opioids (yes, no, don’t know, prefer not to say), witnessing an opioid overdose (yes, no, don’t know, prefer not to say), overdosing on stimulants (yes, no, don’t know, prefer not to say) and witnessing a stimulant overdose (yes, no, don’t know, prefer not to say).

Data analysis

All analyses were conducted using R version 4.0.2 [58]. Frequency distributions and bivariate analyses with chi-square tests of independence were conducted to describe characteristics of participants and to explore relationships between intention to call 9-1-1 and the explanatory variables.

For multivariable analysis, candidate variables were separated into relevant categories, or blocks, that were organized by linking conceptual similarities through a concept map (See Supplementary Fig. 1, Additional File 2). Notably, Indigeneity was separated from other demographic characteristics because it acts as a proxy for a number of other factors relating to colonialism as described above. Hierarchical logistic regression was then used to estimate the association of these blocks and their variables with intention to call 9-1-1 [59]. The final model was entered block by block in five steps:

  1. 1.

    Demographic characteristics except for Indigeneity (age, gender, health region)

  2. 2.

    Indigeneity (identifying as First Nations, Métis and/or Inuit)

  3. 3.

    Socioeconomic status characteristics (housing status, employment status)

  4. 4.

    Overdose response resources (cellphone possession, prior GSDOA awareness, complete understanding of the GSDOA)

  5. 5.

    Overdose characteristics (perceived risk of overdose, perceived risk of witnessing an overdose, stimulant overdose experienced, stimulant overdose witnessed, opioid overdose experienced, opioid overdose witnessed)

To build the model within each block, bivariate logistic regression of each explanatory variable with the outcome variable was completed and variables with p value < 0.25 were considered for selection [60, 61]. Variables were then selected through a backwards selection approach based on minimizing the value of Akaike’s information criteria (AIC) [62]. Conceptually important variables were retained in the model (i.e. age). The final selected model included: age, gender, Indigenous identity, housing status, employment status, previous awareness of the GSDOA and having experienced a stimulant overdose in the past 6 months. To illustrate the relative contribution of each block to model fit, likelihood ratio R2 was calculated after incorporating each additional block [63]. Models were also compared using the Likelihood Ratio Test with each nested model being compared to the model generated in the previous step [60]. The theory of planned behaviour was used as a conceptual framework to inform interpretation and discussion of results [64]. Briefly, the theory of planned behaviour posits that attitudes toward a behaviour, subjective norms and perceived behavioural controls influence the formation of a behavioral intention and this can be used to predict or understand the context of certain behaviours which, in our current study, is calling 9-1-1 for an overdose.

Missing data

Complete case analysis (CCA) was used for this study. This resulted in the exclusion of individuals with missing, “prefer not to say” or “don’t know” responses which were categorized as “unknown” (Fig. 2). In total, 153 (33.7%) observations were removed from the analysis and a total of 327 responses were used for the multivariable model. The model was rerun in sensitivity analyses with a dataset where all unknown values were imputed with multiple imputation by chained equation (MICE) [65]. Briefly, a parallel analysis was conducted using ten imputed datasets each generated by ten cycles of MICE [66]. Results were verified by comparing the imputed model to the unimputed model and there were no significant differences in the conclusions, confirming confidence in the results of the CCA.


Demographic characteristics of study participants

A total of 493 participants completed the GSDOA survey (Fig. 2). Demographic characteristics are presented in Table 1 stratified by health region. Participants were evenly distributed across health regions except for a smaller proportion from the Northern Health region (9.3%) due to population rurality and remoteness. Almost a quarter (23.4%) of participants who reported their age were in the youth age group (16–24 years), 61.8% were between 25 and 54 years old, and 14.7% were 55 years and over. Among participants who reported gender identity, the majority were cis men (57.7%) followed by cis women (37.6%) and trans and gender expansive people (4.7%). Of those who responded to the question on Indigenous identity, a total of 55.8% identified as non-Indigenous, 29.7% identified as First Nations, 13.8% as Métis and 0.7% as Inuit.

Fig. 2
figure 2

Outline of the study sample used for each analysis

Table 1 Demographics of the GSDOA Survey (2020–2021) by the BC health regions (N = 493)

Table 2 presents the distribution of the study variables stratified by intention to call 9-1-1 at an overdose event (n = 451) with most (89.6%) reporting that they would call 9-1-1. Youth (16–24 years) made up the largest group in this sample (23.7%) and the majority identified as cis men (57.0%). Furthermore, a large portion of this sample identified as non-Indigenous (52.1%), lived in supportive/unstable housing (46.1%), were unemployed (63.6%) and owned a cellphone (65.0%). Approximately half (49.0%) of the respondents had previously heard of the GSDOA and, of those, about half (50.2%) had complete knowledge of who is protected from charges for simple possession of a controlled substance under the GSDOA. Of those who were aware of the Act, a third (33.9%) had complete knowledge of when protection is offered under the GSDOA. Over the prior 6 months, 50.8% of respondents felt at some risk of experiencing an overdose and 85.1% felt at some risk of witnessing an overdose. In the last 6 months, over half reported using opioids (55.7%), 18.0% had experienced an opioid overdose, and 15.3% had experienced a stimulant overdose. The majority of participants had witnessed an opioid overdose (57.2%).

Table 2 Factors associated with intention to call 9-1-1 at a future overdose among survey respondents

Willingness to call 9-1-1 was reported by a higher proportion of participants who were unemployed (92.0%) compared to employed (85.1%), participants who owned a cellphone (91.8%) compared to those who did not (84.3%), and participants who were previously aware of the GSDOA (92.8%) compared to those who were unaware (85.2%). Willingness to call 9-1-1 was greater among respondents living in private housing with others (93.0%), living in supportive/unstable housing (92.8%) and persons experiencing homelessness (89.8%) compared to respondents who lived alone in private housing (71.4%) (all p < 0.05).

Factors associated with an intention to call 9-1-1 at an overdose event

Unadjusted bivariate and adjusted odds ratios from multivariable models that estimate the likelihood of intention to call 9-1-1 at an overdose event are shown in Table 3. Age was considered conceptually important and was therefore retained in the model. Models were constructed hierarchically to assess the influence of demographic characteristics, Indigeneity, socioeconomic status (SES) factors, overdose response resources and overdose characteristics on intention to call 9-1-1 at an overdose event. Demographic characteristics were not significantly associated with intention to call 9-1-1 (χ2 = 10.25, p = 0.68). Nevertheless, cis women were found to have more than twice the odds of intending to call 9-1-1 for an overdose compared to cis men (AOR = 2.59 [95% CI 1.01, 6.68]) after adjusting for age. The addition of Indigeneity significantly improved the model fit (χ2 = 5.58, p = 0.018) and persons who identified as Indigenous had significantly lower odds of intending to call 9-1-1 in the second hierarchical model (AOR = 0.38 [95% CI 0.17, 0.85]) after adjusting for age and gender. Further adding SES factors did not significantly improve the model fit in terms of predicting intention to call 9-1-1 (χ2 = 7.74, p = 0.102). However, results indicated that respondents in supportive/unstable housing (AOR = 3.40 [95% CI 1.18, 9.78]) and persons living with others in private housing (AOR = 3.90 [95% CI 1.01, 15.03]) had elevated odds of being willing to call 9-1-1 at an overdose event after adjusting for age, gender and Indigeneity. The addition of overdose response resources further improved model fit (χ2 = 8.20, p < 0.01). Persons who reported prior awareness of the GSDOA had over three time the odds of being willing to call 9-1-1 (AOR = 3.52 [95% CI 1.42, 8.69]) after adjusting for age, gender, Indigeneity, housing status and employment status. Including overdose characteristics significantly improved the fit of the model (χ2 = 7.60, p < 0.01). Participants who had experienced a stimulant overdose in the past 6 months had significantly lower odds of intention to call 9-1-1 at an overdose event (AOR = 0.24 [95% CI 0.09, 0.65]) after adjusting for age, gender, Indigeneity, housing status, employment status and previous GSDOA awareness.

Table 3 Estimated odds ratios (OR) and adjusted odds ratios (AOR) for predictors of intention to call 911 at a future overdose among participants

To address missing data, a multivariable model was built containing the same variables but using pooled imputed datasets generated by multiple imputation by chained equation (N = 493) (See Supplementary Table 1, Additional File 2). Though the strength of association changed for some explanatory variables, the directions of the associations of interest were consistent with unimputed results from Table 3.


About 10% of the sample reported that the GSDOA did not affect their intent to call 9-1-1 at a future overdose event and a number of characteristics have been found to be associated with this intent. We found higher odds of intention to call 9-1-1 among cis women, non-Indigenous respondents, participants living in supportive, unstable or private housing with others compared to private housing alone, persons with prior awareness of the GSDOA, and participants who had not experienced a stimulant overdose over the last 6 months. Importantly, demographic factors, apart from Indigeneity, and SES factors did not significantly improve the model fit. Overdose response resources and overdose characteristics each accounted for a significant portion of the variation in the outcome variable over and above the factors included before them. This suggests that, in our model, demographic and SES factors had a relatively less important role in predicting intention to call 9-1-1 at an overdose compared to Indigeneity and overdose-related factors.

Previous studies have assessed factors associated with calling 9-1-1 at an overdose among samples of people with variable knowledge of drug related Good Samaritan laws, which have been implemented in many states throughout the US [15,16,17, 67, 68]. Although our study included a substantial proportion of youth (aged 16–24), a population that has previously been identified as reticent to call 9-1-1 due to fear of criminalization and mistrust of police [6, 23, 69, 70], we did not find that intent to call 9-1-1 differed by this age group (Block 1). Future research should investigate the potential age-related dynamics to intention to call 9-1-1 at overdose events given prior research in this area. In addition, we found that cis women were more likely to express intention to call 9-1-1 at a future overdose event. This broadly corroborates previous research on sex and gender that found a higher likelihood of 9-1-1 being called when female bystanders were present [16, 17]. Critical feminist scholars suggest that gender is socially prescribed and devised largely based on social conditioning ([71], cited by [72], cited by [73]). Consequently, a body of literature argues that the high prevalence of women in caregiving roles is a product of processes of socialization, and associated service landscapes and policies ([74,75,76], cited by [72], [77], cited by [73]). As studies by Brewer [73] and Doyal [78] suggest, power relations and societal influences are likely at the root of the burden of unpaid caregiving work disproportionately falling on women. Furthermore, norms surrounding masculinity that reject vulnerability and contribute to lower medical care seeking may contribute to reduced odds of calling 911 among cis-men [79, 80]. Studies examining THN program uptake have revealed that structural power and social dynamics such as these are central to overdose response landscapes [81,82,83,84,85]. To be successful, harm reduction programs and policy involving peer action must be sensitive to the social environment of the responder. Taken together with our findings, further research is necessary to elucidate the role of gender on seeking help at overdose events.

We also found decreased likelihood of calling 9-1-1 among people who have overdosed on stimulants in the last 6 months. Ambrose et al. [16] similarly found that the odds of calling 9-1-1 are lower if persons had a previous stimulant overdose. The effects of using stimulants are different from those of opioids, and may impact help seeking and interactions with first responders who can have stigmatizing perceptions of people who use stimulants [86, 87]. Consequently, compared to those who use opioids, people who use stimulants have increased odds of being incarcerated and are more likely to experience an overnight hospital stay [88, 89]. Therefore, people who use stimulants may experience additional risk of harm at overdose events, which may affect attitudes around calling 9-1-1 at future overdose events. More research is needed to confirm this. In addition, our findings could also be reflective of a lower perceived need for naloxone, calling 9-1-1 and the GSDOA among people who use stimulants compared to people who use only opioids. A recent study conducted in Vancouver, BC by Mansoor et al. [90] found that, relative to our understanding of the signs of an opioid overdose, a unified understanding of the signs of a stimulant overdose may be lacking despite severe outcomes that can result such as cardiac arrest and seizure. As this study suggests, stimulant overdose recognition and response may be impacted contributing to a higher likelihood of not calling 9-1-1 and self-managing stimulant overdoses [90].

Our finding that those living in a private residence alone had lower odds of intention to call 9-1-1 compared to persons living in private housing with others and persons in supportive or unstable housing is supported by past research. Specifically, a study in New York City, US and two studies conducted in BC found decreased odds of calling 9-1-1 for overdoses occurring in private residences and a higher likelihood of 9-1-1 being called if an overdose was witnessed in a public setting (e.g. on the street) [15, 16, 28]. Additionally, a recent Vancouver study found lower odds of calling 9-1-1 among persons living in SROs compared to other private residences [68]. Bystanders to overdose in private residences may be concerned about lacking anonymity or losing housing as a result of drug use being discovered [91, 92]. This could be particularly relevant for people who live alone as the presence of emergency personnel at their residence could be directly linked to them as would potential repercussions such as loss of housing or eviction.

Respondents who were previously aware of the GSDOA had a higher likelihood of intention to call 9-1-1 at future overdose events. Past research has provided evidence for an association between awareness of the GSDOA and intent to call 9-1-1 [28, 67, 93,94,95]. Since all respondents were educated about the GSDOA, our finding suggests that reinforcing education of the Act can increase intention to call 9-1-1. Jakubowski et al. [28] had similar results with people who received repeated Good Samaritan law instruction at 3-, 6- and 12-month follow-up points and saw correct knowledge of the Good Samaritan law increase each time. This reinforces the importance of expanding GSDOA awareness and knowledge as well as continuing targeted dissemination of the Act.

Our findings indicated that participants who identified as Indigenous had lower odds of intending to call 9-1-1. The addition of subsequent blocks to the hierarchical model reduced this effect to the point where it lacked statistical significance, suggesting that there may have been other factors contributing to this association. Indigenous peoples are racially profiled and mistreated by police and health care professionals in Canada [96,97,98]. Compared to non-Indigenous peoples, Indigenous peoples are disproportinately incarcerated, making up over 25% of the correctional facility population while only representing 4.5% of the Canadian population [99, 100]. This is largely a result of the ongoing impacts of colonization, including anti-Indigenous discrimination. Indigenous peoples contend with precarious encounters with law enforcement, characterized by risks of violence and discrimination, which contribute to a fear or reduced willingness to contact and interact with the police [101]. Our study may reflect these barriers to calling 9-1-1 among Indigenous respondents that are not addressed by the GSDOA [54,55,56,57]. The 2020 report In Plain Sight: Addressing Indigenous-Specific Racism and Discrimination in B.C. Health Care contains policy recommendations meant to address interpersonal and institutional anti-Indigenous racism in health setting [102]. This includes developing an Anti-Racism Act and amending the Health Professions Act, Hospitals Act, and Health Authorities Act to set standards and expectations of anti-racism and Indigenous cultural safety for employees in the health care system including policymakers, clinicians and paramedics. The GSDOA cannot be separated from the sociopolitical context in which it operates as forces such as anti-Indigenous racism certainly have an impact on how PWUD experience the GSDOA as well as their interactions with first responders and hospital personnel. Policies addressing racism and promoting equitable access to EMS are paramount for the effectiveness of policies such as the GSDOA. To further improve implementation of the GSDOA, efforts should focus on constant and reflective relationship-building efforts between law enforcement and populations who may be distrustful of police.

To better connect our results to behaviour intentions and identify areas that may respond to interventions, we drew on the theory of planned behaviour as a conceptual framework [64]. According to the theory of planned behaviour, attitudes toward a behaviour, subjective norms and perceived behavioural controls combine to form a behavioral intention (i.e., intention to call 9-1-1 at an overdose event). Indigenous, Black and People of Colour have and continue to report negative interactions with police officers and this has led to attitudes of distrust towards police among these groups [39, 96,97,98]. Furthermore, people experiencing homelessness and PWUD continue to be criminalized by police [19, 23]. This may be compounded by the subjective norm that one should not call or involve police as this may be perceived as “ratting” on others and potentially subject others to harms associated with police involvement [19, 103]. Masculinity is another subjective norm to consider as this has been shown to lower odds of calling 9-1-1 in men [79, 80]. Though none of the associated factors in our model can be readily described as a perceived behavioural control, one important control to consider from outside the model is cellphone possession. Specifically, over a third of respondents did not have a cellphone and therefore had a potential added barrier to calling 9-1-1 at future overdose events. Furthermore, willingness to call 9-1-1 differed significantly between cellphone owners and those who did not own a cellphone. Altogether, the application of the theory of planned behaviour to our findings highlights that one’s intention to call 9-1-1 at overdose events is complicated by many overlapping influences that operate on both the individual- and environmental-level. Additional qualitative and quantitative research is required to capture the many unique scenarios and circumstances that impact overdose bystanders’ decision-making process.

Despite the sample indicating a high level of intent to call after receiving education about the GSDOA, about 10 % of the sample indicated they would not call. The disparities in intention to call 9-1-1 highlight the need for several interventions to support the aims of the GSDOA. First, the protections of the GSDOA should be expanded to protect bystanders who may fear losing housing or employment if they call 9-1-1. Many PWUD are engaged in criminalized work (e.g. sex work, drug dealing) and this should be taken into account when expanding GSDOA protections [104, 105]. Further, instances of police discretion should be minimized to limit inconsistencies in how people at overdose events experience the GSDOA [31, 106]. De jure decriminalization policies that are developed in collaboration with PWLLE are also needed to address the limitations of the narrow form of decriminalization that is the GSDOA. Calls and recommendations from the In Plain Sight report [102] should be followed to improve access to care and interactions with first responders for Indigenous, Black and People of Colour. Considering the studies in BC that have highlighted low to moderate levels of GSDOA awareness and understanding among PWUD and police officers [30, 31, 35], continued knowledge dissemination efforts, especially to subgroups with lower GSDOA awareness and understanding, is warranted and necessary to improve the implementation of the GSDOA.

Our study identifies a number of gaps in the literature and potential future research directions. More research is needed to clarify the impact of gender on intent to call 9-1-1 at overdose events, through a structural sexism lens. We did not find that intent to call 9-1-1 was associated with age, however, there are mixed findings in the literature – suggesting that more research is needed. Future research would additionally benefit from exploring experiences at stimulant overdose events, including perspectives and concerns around identifying a stimulant overdose, responding and calling 9-1-1. Lastly, given the multitude of factors, beyond GSDOA awareness and knowledge and variables discussed in our analysis, that can contribute to decision-making around help seeking, quantitative and qualitative studies focusing on various and potentially intersecting facilitators and barriers to calling 9-1-1 are needed.

The findings of this study have several limitations. Respondents were recruited by convenience sampling and this research relied largely on respondents at THN sites. Although the study used THN and Foundry sites in all the health regions of BC, most sites were in urban locations and may not therefore adequately capture the perceptions and experiences of people residing in rural areas. The data we collected and analyzed is not all-inclusive and there may be factors that are associated with intention to call 9-1-1 at overdose events that we did not account for (e.g. past negative experiences with first reponders and/or healthcare providers). We did not assess level of education which may have been associated with the outcome – possibly as a result of differences in access to information and learning abilities affecting awareness and correct knowledge surrounding the GSDOA. Indigenous identity was assessed, however race and ethnicity was not assessed for those who identified as non-Indigenous. Future studies should assess potential differences in willingness to call 9-1-1 and interactions with police between Indigenous, Black and People of Color and non-racialized people. Though the GSDOA has been implemented on the federal level in Canada, this study exclusively took place in BC and may not be applicable to other provinces or countries with similar drug related Good Samaritan laws, such as the USA. These limitations altogether impact the generalizability of the study to all people who may witness an overdose. Additionally, we cannot determine the temporality between the explanatory and outcome variables due to the cross-sectional design of the study. Due to the self-reported nature of our survey, we also cannot rule out certain respondent biases (e.g. confirmation bias, recall bias, social desirability bias). Altogether, the level of intent to call 9-1-1 may be overestimated, especially considering that most participants were recruited at THN sites and those with THN training and experience administering naloxone are more likely to call 9-1-1 for an overdose [68]. Sensitivity analysis was completed using imputed datasets and, while the direction of the main associations of interest remained unchanged, associations of the outcome variable with other covariates differed. This limits our ability to make conclusions about the magnitude of the relationships given that they differ across the imputed and unimputed models.


This study uniquely assessed the level of intent and factors associated with intent to call 9-1-1 at future overdose events across 19 THN program sites in BC among people at risk of witnessing an overdose and who were educated about the GSDOA. Our findings show that about 10% of the sample indicated that the GSDOA did not affect their intent to call 9-1-1 at a future overdose event. Our recommendations, informed by the theory of planned behaviour, include public education of the GSDOA, the expansion of the GSDOA’s legal protections, implementation of broader decriminalization and the development of anti-racist policy for first responders in order to mitigate barriers to calling 9-1-1 for an overdose and ultimately reduce overdose deaths.

Availability of data and materials

The datasets analyzed during the current study are available from the corresponding author on reasonable request.



Akaike information criterion


Adjusted odds ratio


British Columbia


British Columbia Emergency Health Services


Complete case analysis


Emergency medical services


Good Samaritan Drug Overdose Act


Multiple imputation by chained equation


Peer2peer Project


Professionals for Ethical Engagement of Peers


People with lived and living experience


People who use drugs


Socioeconomic status


Take Home Naloxone


United States


  1. Public Health Agency of Canada. Opioid- and Stimulant-related Harms in Canada [Internet]. Special Advisory Committee on the Epidemic of Opioid Overdoses; 2021 [cited 14 July 2021]. Available from:

  2. Mattson CL, Tanz LJ, Quinn K, Kariisa M, Patel P, Davis NL. Trends and geographic patterns in drug and synthetic opioid overdose deaths — United States, 2013–2019. MMWR Morb Mortal Wkly Rep. 2021;70(6):202–7.

    Article  PubMed  PubMed Central  Google Scholar 

  3. C. D. C. National Center for Health Statistics: Drug Overdose Deaths in the U.S. Top 100,000 Annually [Internet]. 2021 [cited 12 May 2022]. Available from:

    Google Scholar 

  4. Special advisory committee on the epidemic of opioid overdoses. Opioid- and stimulant-related harms in Canada [Internet]. Public Health Agency of Canada; 2022 [cited 12 May 2022]. Available from:

  5. Crabtree A, Lostchuck E, Chong M, Shapiro A, Slaunwhite A. Toxicology and prescribed medication histories among people experiencing fatal illicit drug overdose in British Columbia. Canada CMAJ. 2020;192(34):E967–E72.

    CAS  Article  Google Scholar 

  6. British Columbia Coroners Service. Illicit Drug Toxicity Deaths in BC January 1, 2011 - May 31, 2021 [Internet]. Ministry of Public Safety & Solicitor General; 2021 [cited 14 July 2021]. Available from:

    Google Scholar 

  7. BC Ministry of Health. Provincial health officer declares public health emergency [Internet]. 2016 [cited 2021 July 18]. Available from:

    Google Scholar 

  8. Foldes FF, Duncalf D, Kuwabara S. The respiratory, circulatory, and narcotic antagonistic effects of nalorphine, levallorphan, and naloxone in anaesthetized subjects. Can Anaes Soc J. 1969;16(2):151–61.

    CAS  Article  Google Scholar 

  9. Young S, Williams S, Otterstatter M, Lee J, Buxton J. Lessons learned from ramping up a Canadian take home naloxone programme during a public health emergency: a mixed-methods study. BMJ Open. 2019;9:e030046.

    Article  PubMed  PubMed Central  Google Scholar 

  10. BC Centre for Disease Control. BC Centre for Disease Control and Provincial Health Officer Position Statement - Observed Consumption Services[Internet]. BC Centre for Disease Control; 2019 [cited 16 July 2021]. Available from:

    Google Scholar 

  11. BCCDC Harm Reduction Services. THN in BC Infograph - July 2021 [Internet]. 2021 [cited 15 Aug 2021]. Available from:

  12. Boyer EW. Management of Opioid Analgesic Overdose. N Engl J Med. 2012;367(2):146–55.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  13. Clark AK, Wilder CM, Winstanley EL. A systematic review of community opioid overdose prevention and naloxone distribution programs. J Addict Med. 2014;8(3):153–63.

    CAS  Article  PubMed  Google Scholar 

  14. Lim JK, Bratberg JP, Davis CS, Green TC, Walley AY. Prescribe to prevent: overdose prevention and naloxone rescue kits for prescribers and pharmacists. J Addict Med. 2016;10(5):300–8.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  15. Karamouzian M, Kuo M, Crabtree A, Buxton JA. Correlates of seeking emergency medical help in the event of an overdose in British Columbia, Canada: findings from the take home naloxone program. Int J Drug Policy. 2019;71:157–63.

    Article  PubMed  Google Scholar 

  16. Ambrose G, Amlani A, Buxton JA. Predictors of seeking emergency medical help during overdose events in a provincial naloxone distribution programme: a retrospective analysis. BMJ Open. 2016;6(6):e011224.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Tobin KE, Davey MA, Latkin CA. Calling emergency medical services during drug overdose: an examination of individual, social and setting correlates. Addiction. 2005;100(3):397–404.

    Article  PubMed  Google Scholar 

  18. Canadian community epidemiology network on drug use. CCENDU bulletin calling 911 in drug poisoning situations [Internet]. Canadian Centre on Subst Abus; 2017 [cited 2021 July 19]. Available from:

  19. Latimore AD, Bergstein RS. "Caught with a body" yet protected by law? Calling 911 for opioid overdose in the context of the Good Samaritan law. Int J Drug Policy. 2017;50:82–9.

    Article  PubMed  Google Scholar 

  20. Koester S, Mueller SR, Raville L, Langegger S, Binswanger IA. Why are some people who have received overdose education and naloxone reticent to call emergency medical services in the event of overdose? Int J Drug Policy. 2017;48:115–24.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Greer A, Sorge J, Sharpe K, Bear D, Macdonald S. Police encounters and experiences among youths and adults who use drugs: qualitative and quantitative findings of a cross-sectional study in Victoria, British Columbia. Can J Criminol Crim. 2018;60(4):478–504.

    Article  Google Scholar 

  22. Greer A, Selfridge M, Watson TM, Macdonald S, Pauly B. Young people who use drugs views toward the power and Authority of Police Officers. Contemp Drug Probl. 2021;1-22.

  23. Selfridge M, Greer A, Card KG, Macdonald S, Pauly B. "It's like super structural" - overdose experiences of youth who use drugs and police in three non-metropolitan cities across British Columbia. Int J Drug Policy. 2020;76:102623.

    Article  Google Scholar 

  24. Vancouver Police Department. 1.6.28 Guidelines for police attending illicit drug overdoses. In Regulations and procedures manual [Internet]. 2006 [cited 19 July 2021]. Available from:

  25. Mehta A, Palis H, Jennesen S, Lilley N, Slemko R, Buxton J. Change in police notification and police attendance after the BC Emergency Health Services introduced a policy to not routinely notify police of all overdose events [Internet]. 2021 [cited 13 July 2021]. Available from:

  26. Government of Canada. About the Good Samaritan Drug Overdose Act [Internet]. 2021 [cited 15 July 2021]. Available from:

  27. Moallef S, Hayashi K. The effectiveness of drug-related Good Samaritan laws: a review of the literature. Int J Drug Policy. 2021;90:102773.

    Article  PubMed  Google Scholar 

  28. Jakubowski A, Kunins HV, Huxley-Reicher Z, Siegler A. Knowledge of the 911 Good Samaritan law and 911-calling behavior of overdose witnesses. Subst Abus. 2018;39(2):233–8.

    Article  PubMed  Google Scholar 

  29. Evans TI, Hadland SE, Clark MA, Green TC, Marshall BD. Factors associated with knowledge of a Good Samaritan law among young adults who use prescription opioids non-medically. Harm Reduct J. 2016;13(1):24.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Moallef S, DeBeck L, Milloy M, Somers J, Kerr T, Hayashi K. Knowledge of a drug-related Good Samaritan law among people who use drugs, Vancouver, Canada. Health Educ Behav. 2021;1090198121999303

  31. Xavier J, Greer A, Crabtree A, Ferencz S, Buxton JA. Police officers' knowledge, understanding and implementation of the Good Samaritan drug overdose act in BC, Canada. Int J Drug Policy. 2021;97:103410.

    Article  PubMed  Google Scholar 

  32. Atkins DN, Durrance CP, Kim Y. Good Samaritan harm reduction policy and drug overdose deaths. Health Serv Res. 2019;54(2):407–16.

    Article  PubMed  PubMed Central  Google Scholar 

  33. McClellan C, Lambdin BH, Ali MM, Mutter R, Davis CS, Wheeler E, et al. Opioid-overdose laws association with opioid use and overdose mortality. Addict Behav. 2018;86:90–5.

    Article  PubMed  Google Scholar 

  34. Rees DI, Sabia JJ, Argys LM, Dave D, Latshaw J. With a little help from my friends: the effects of Good Samaritan and naloxone access Laws on opioid-related deaths. J Law Econ. 2019;62(1):1–27.

    Article  Google Scholar 

  35. Mehta A, Moustaqim-Barrette A, Papamihali K, Xavier J, Graham B, Williams S, et al. Good Samaritan drug overdose act awareness among people who use drugs in British Columbia, Canada. J Community Saf Well Being. 2021;6(3):133–41.

    Article  Google Scholar 

  36. McNeil R, Cooper H, Small W, Kerr T. Area restrictions, risk, harm, and health care access among people who use drugs in Vancouver, Canada: a spatially oriented qualitative study. Health Place. 2015;35:70–8.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Paquette CE, Syvertsen JL, Pollini RA. Stigma at every turn: health services experiences among people who inject drugs. Int J Drug Policy. 2018;57:104–10.

    Article  PubMed  PubMed Central  Google Scholar 

  38. van Boekel LC, Brouwers EP, van Weeghel J, Garretsen HF. Stigma among health professionals towards patients with substance use disorders and its consequences for healthcare delivery: systematic review. Drug Alcohol Depend. 2013;131(1–2):23–35.

    Article  PubMed  Google Scholar 

  39. British Columbia's Office of the Human Rights Commissioner. Equity is safer: Human rights considerations for policing reform in British Columbia [Internet]. 2021 [cited 18 September 2021]. Available from:

  40. Chartrand V. Unsettled times: indigenous incarceration and the links between colonialism and the penitentiary in Canada. Can J Criminol Crim Justice. 2019;61(3):67–89.

    Article  Google Scholar 

  41. Khenti A. The Canadian war on drugs: structural violence and unequal treatment of black Canadians. Int J Drug Policy. 2014;25(2):190–5.

    Article  PubMed  Google Scholar 

  42. Boyd S. Drug use, arrests, policing, and imprisonment in Canada and BC, 2015–2016 [Internet]. 2018 [cited 13 May 2022]. Available from:

  43. Cooper HL. War on drugs policing and police brutality. Subst Use Misuse. 2015;50(8–9):1188–94.

    Article  PubMed  PubMed Central  Google Scholar 

  44. Carroll JJ, Mullins C, Burnham-Lemaire G, Korycinski H, Pierce H, Martinez M, et al. Student perceptions of a university medical amnesty policy are impacted by race and racism: a qualitative study. Subst Use Misuse. 2021;56(2):185–91.

    Article  PubMed  Google Scholar 

  45. Lopez AM, Thomann M, Dhatt Z, Ferrera J, Al-Nassir M, Ambrose M, et al. Understanding racial inequities in the implementation of harm reduction initiatives. Am J Public Health. 2022;112(S2):S173–S81.

    Article  PubMed  Google Scholar 

  46. Moustaqim-Barrette A, Papamihali K, Crabtree A, Graham B, Karamouzian M, Buxton JA. Correlates of take-home naloxone kit possession among people who use drugs in British Columbia: a cross-sectional analysis. Drug Alcohol Depend. 2019;205:107609.

    CAS  Article  PubMed  Google Scholar 

  47. Kuo M, Shamsian A, Tzemis D, Buxton JA. A drug use survey among clients of harm reduction sites across British Columbia, Canada, 2012. Harm Reduct J. 2014;11(1):13.

    Article  PubMed  PubMed Central  Google Scholar 

  48. Papamihali K, Yoon M, Graham B, Karamouzian M, Slaunwhite AK, Tsang V, et al. Convenience and comfort: reasons reported for using drugs alone among clients of harm reduction sites in British Columbia, Canada. Harm Reduct J. 2020;17(1):90.

    Article  PubMed  PubMed Central  Google Scholar 

  49. Qualtrics. Qualtrics Core XM Survey Software [Internet]. 2020 [cited 12 July 2021]. Available from:

  50. United Nations. Secretary-General's Report to the General Assembly A/56/180 [Internet]. 2001 [cited 18 December 2021]. Available from:

  51. Strang J, Manning V, Mayet S, Titherington E, Offor L, Semmler C, et al. Family carers and the prevention of heroin overdose deaths: unmet training need and overlooked intervention opportunity of resuscitation training and supply of naloxone. Drugs (Abingdon Engl). 2008;15(2):211–8.

    Article  Google Scholar 

  52. Mamdani Z, McKenzie S, Pauly B, Cameron F, Conway-Brown J, Edwards D, et al. "Running myself ragged": stressors faced by peer workers in overdose response settings. Harm Reduct J. 2021;18(1):18.

    Article  PubMed  PubMed Central  Google Scholar 

  53. Bardwell G, Kerr T, Boyd J, McNeil R. Characterizing peer roles in an overdose crisis: preferences for peer workers in overdose response programs in emergency shelters. Drug Alcohol Depend. 2018;190:6–8.

    Article  PubMed  PubMed Central  Google Scholar 

  54. Interagency Coalition on AIDS and Development. Indigenous Harm Reduction = Reducing the Harms of Colonization [Internet]. 2019 [cited 10 September 2021]. Available from:

  55. Kim PJ. Social determinants of health inequities in Indigenous Canadians through a life course approach to colonialism and the residential school system. Health Equity. 2019;3(1):378–81.

    Article  PubMed  PubMed Central  Google Scholar 

  56. Wardman D, Quantz D. Harm reduction services for British Columbia's First Nation population: a qualitative inquiry into opportunities and barriers for injection drug users. Harm Reduct J. 2006;3:1–6.

    Article  Google Scholar 

  57. Dell C, Lyons T. Harm Reduction Policies and Programs for Persons of Aboriginal Descent. In: Harm Reduction for Special Populations in Canada, vol. 3. Ottawa, Ontario: Canadian Centre on Substance Abuse; 2007. p. 1–20.

    Google Scholar 

  58. R Core Team. R: A language and environment for statistical computing. [Internet]. R Foundation for Statistical Computing; 2021 [cited 12 July 2021]. Available from:

  59. Kim B. Hierarchical Linear Regression. [Internet]. University of Virginia Library Research Data Services + Sciences; 2016 [cited 20 July 2021]. Available from:

  60. Hosmer DW, Lemeshow S, Sturdivant RX. Model-building strategies and methods for logistic regression. In: Hosmer DW, Lemeshow S, Sturdivant RX, editors. Applied logistic regression. 3r ed. New York: Wiley; 2013. p. 89–151.

    Chapter  Google Scholar 

  61. Zhang Z. Model building strategy for logistic regression: purposeful selection. Ann Transl Med. 2016;4(6):111.

    Article  PubMed  PubMed Central  Google Scholar 

  62. Akaike H. Akaike's information criterion. In: Lovric M, editor. International encyclopedia of statistical science. Berlin: Springer; 2011. p. 25.

    Chapter  Google Scholar 

  63. Cohen J, Cohen P, West SG, Aiken LS. Alternative regression models: logistic, Poisson regression, and the generalized linear model. In: Cohen J, Cohen P, West SG, Aiken LS, editors. Applied multiple regression/correlation analysis for the behavioral sciences. 3rd ed. Abingdon: Routledge; 2013.

    Chapter  Google Scholar 

  64. Ajzen I. The theory of planned behaviour. Organ Behav Hum Decis Process. 1991;50(2):179–211.

    Article  Google Scholar 

  65. Enders CK. Applied missing data analysis. New York, NY: Guilford Press; 2010.

    Google Scholar 

  66. Azur MJ, Stuart EA, Frangakis C, Leaf PJ. Multiple imputation by chained equations: what is it and how does it work? Int J Methods Psychiatr Res. 2011;20(1):40–9.

    Article  PubMed  PubMed Central  Google Scholar 

  67. Zadoretzky C, McKnight C, Bramson H, Des Jarlais D, Phillips M, Hammer M, et al. The New York 911 Good Samaritan law and opioid overdose prevention among people who inject drugs. World Med Health Policy. 2017;9(3):318–40.

    Article  Google Scholar 

  68. Moallef S, Choi J, Milloy MJ, DeBeck K, Kerr T, Hayashi K. A drug-related Good Samaritan law and calling emergency medical services for drug overdoses in a Canadian setting. Harm Reduct J. 2021;18(1):91.

    Article  PubMed  PubMed Central  Google Scholar 

  69. Representative for Children and Youth. Time to Listen: Youth Voices on Substance Use [Internet]. 2018 [cited 21 Sep 2021]. Available from:

  70. Chang DC, Rieb L, Nosova E, Liu Y, Kerr T, DeBeck K. Hospitalization among street-involved youth who use illicit drugs in Vancouver, Canada: a longitudinal analysis. Harm Reduct J. 2018;15(14):1–6.

    Article  Google Scholar 

  71. Hare-Mustin R, Marecek J. Gender and the meaning of difference: postmodernism and psychology. In: Herrmann AC, Stewart AJ, editors. Theorizing feminism: parallel trends in the humanities and social sciences. Boulder, CO: Westview Press; 1994. p. 49–79.

    Google Scholar 

  72. Ray RE. A postmodern perspective on feminist gerontology. Gerontologist. 1996;36(5):674–80.

    CAS  Article  PubMed  Google Scholar 

  73. Brewer L. Gender socialization and the cultural construction of elder caregivers. J Aging Stud. 2001;15(3):217–35.

    Article  Google Scholar 

  74. Hooyman NR. Social policy and gender inequities in caregiving. In: Dwyer JW, Coward RT, editors. Gender, families, and elder care. Newbury Park, CA: Sage; 1992. p. 181–201.

    Google Scholar 

  75. Stoller EP. Gender and the organization of lay health care: a socialist-feminist perspective. J Aging Stud. 1993;7(2):151–70.

    Article  Google Scholar 

  76. Walker AJ. Conceptual perspectives on gender and family caregiving. In: Dwyer JW, Coward RT, editors. Gender, families, and elder care. Newbury Park, CA: Sage; 1992. p. 34–46.

    Google Scholar 

  77. England S, Keigher S, Miller B, Linsk N. Community care policies and gender justice. In: Fee E, Krieger N, editors. Women's health, politics, and power. Amityville, NY: Baywood Publishing; 1994. p. 97–114.

    Google Scholar 

  78. Doyal L. Women, health, and the sexual division of labor: a case study of the Women’s health movement in Britain. In: Fee E, Krieger N, editors. Women’s health, politics, and power: essays on sex/gender, medicine, and public health. New York, NY: Routledge; 1994. p. 61–76.

    Google Scholar 

  79. Mahalik JR, Good GE, Englar-Carlson M. Masculinity scripts, presenting concerns, and help seeking: implications for practice and training. Prof Psychol Res Pr. 2003;34(2):123–31.

    Article  Google Scholar 

  80. Connell RW, Messerschmidt JW. Hegemonic masculinity: rethinking the concept. Gend Soc. 2005;19:829–59.

    Article  Google Scholar 

  81. Farrugia A, Fraser S, Dwyer R. Assembling the social and political dimensions of take-home naloxone. Contemp Drug Probl. 2017;44(3):163–75 10.1177_0091450917723350.

    Article  Google Scholar 

  82. Farrugia A, Fraser S, Dwyer R, Fomiatti R, Neale J, Dietze P, et al. Take-home naloxone and the politics of care. Sociol Health Illn. 2019;41(2):427–43.

    Article  PubMed  Google Scholar 

  83. Farrugia A, Neale J, Dwyer R, Fomiatti R, Fraser S, Strang J, et al. Conflict and communication: managing the multiple affordances of take-home naloxone administration events in Australia. Addict Res Theory. 2019;28(1):29–37.

    Article  Google Scholar 

  84. Neale J, Brown C, Campbell ANC, Jones JD, Metz VE, Strang J, et al. How competent are people who use opioids at responding to overdoses? Qualitative analyses of actions and decisions taken during overdose emergencies. Addiction. 2019;114(4):708–18.

    Article  PubMed  Google Scholar 

  85. Faulkner-Gurstein R. The social logic of naloxone: peer administration, harm reduction, and the transformation of social policy. Soc Sci Med. 2017;180:20–7.

    Article  PubMed  Google Scholar 

  86. Monds LA, Cullen HJ, Kloft L, Sumampouw N, van Golde C, Harrison AW, et al. Police perceptions of eyewitness impairment due to alcohol and other drug use: a cross-cultural comparison. Police Pract Res. 2021;23(1):34–49.

    Article  Google Scholar 

  87. Shachar C, Wise T, Katznelson G, Campbell AL. Criminal justice or public health: a comparison of the representation of the crack cocaine and opioid epidemics in the media. J Health Polit Policy Law. 2021;45(2):211–39.

    Article  Google Scholar 

  88. Gjersing L, Bretteville-Jensen AL. Characteristics and risk of incarceration among hard-to-reach people who use drugs: a five-year prospective cohort study combining self-reports and registry data. Int J Drug Policy. 2021;95:103288.

    Article  PubMed  Google Scholar 

  89. Leeman RF, Sun Q, Bogart D, Beseler CL, Sofuoglu M. Comparisons of cocaine-only, opioid-only, and users of both substances in the National Epidemiologic Survey on alcohol and related conditions (NESARC). Subst Use Misuse. 2016;51(5):553–64.

    Article  PubMed  PubMed Central  Google Scholar 

  90. Mansoor M, McNeil R, Fleming T, Barker A, Vakharia S, Sue K, et al. Characterizing stimulant overdose: a qualitative study on perceptions and experiences of “overamping”. Int J Drug Policy. 2022;102:103592.

    Article  PubMed  Google Scholar 

  91. Bowles JM, Smith LR, Verdugo SR, Wagner KD, Davidson PJ. "Generally, you get 86'ed because you're a liability": an application of integrated threat theory to frequently witnessed overdoses and social distancing responses. Soc Sci Med. 2020;260:113190.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  92. Tracy M, Piper TM, Ompad D, Bucciarelli A, Coffin PO, Vlahov D, et al. Circumstances of witnessed drug overdose in new York City: implications for intervention. Drug Alcohol Depend. 2005;79(2):181–90.

    Article  PubMed  Google Scholar 

  93. Watson DP, Ray B, Robison L, Huynh P, Sightes E, Walker S, et al. Lay responder naloxone access and Good Samaritan law compliance: postcard survey results from 20 Indiana counties. Harm Reduct J. 2018;15(1):18.

    Article  PubMed  PubMed Central  Google Scholar 

  94. McLeod KE, Xavier J, Okhowat A, Williams S, Korchinski M, Young P, et al. Knowledge of the Good Samaritan drug overdose act and possession of a take home naloxone kit among people recently released from provincial correctional facilities in British Columbia. Int J Prison Health. 2021;18(1):43–54.

    Article  Google Scholar 

  95. Banta-Green C, Kuszler O, Coffin P, Schoeppe J. Washington's 911 Good Samaritan drug overdose law-initial evaluation results [Internet]. Alcohol & Drug Abuse Institute, University of Washington; 2011 [cited 18 July 2021]. Available from:

  96. Palmater P. Shining light on the dark places: addressing police racism and sexualized violence against indigenous women and girls in the national inquiry. Can J Women Law. 2016;28(2):253–84.

    Article  Google Scholar 

  97. Lithopoulos S, Ruddel R. Policing isolated Aboriginal communities: perspectives of Canadian officers. Policing. 2011;34(3):434–53.

    Article  Google Scholar 

  98. Nettelbeck A, Smandych R. Policing indigenous peoples on two colonial Frontiers: Australia’s mounted police and Canada’s north-west mounted police. Aust N Z J Criminol. 2010;43(2):356–75.

    Article  Google Scholar 

  99. Government of Canada. Adult and youth correctional statistics in Canada, 2018/2019 [Internet]. Canadian Centre for Justice and Community Safety Statistics; 2020 [cited 17 Sep 2021]. Available from:

  100. The Council of Canadian Academies. Toward Peace, Harmony, and Well-Being: Policing in Indigenous Communities [Internet]. The Expert Panel on Policing in Indigenous Communities; 2019 [cited 17 Sep 2021]. Available from:

  101. Cao L. Aboriginal people and confidence in the police. Can J Criminol Crim Justice. 2014;56(5):499–526.

    Article  Google Scholar 

  102. Turpel-Lafond ME. In Plain Sight: Addressing Indigenous-specific racism and discrimination in BC health care [Internet]. 2020 [cited 17 Sep 2021]. Available from:

  103. Rudzinski K, Strike C. Resilience in the face of victimization: a Bourdieusian analysis of dealing with harms and hurts among street-involved individuals who smoke crack cocaine. Contemp Drug Probl. 2020;47(1):3–28.

    Article  Google Scholar 

  104. DeBeck K, Shannon K, Wood E, Li K, Montaner J, Kerr T. Income generating activities of people who inject drugs. Drug Alcohol Depend. 2007;91(1):50–6.

    Article  PubMed  PubMed Central  Google Scholar 

  105. Chettiar J, Shannon K, Wood E, Zhang R, Kerr T. Survival sex work involvement among street-involved youth who use drugs in a Canadian setting. J Public Health (Oxf). 2010;32(3):322–7.

    Article  Google Scholar 

  106. van der Meulen E, Ka Hon Chu S, Butler-McPhee J. "That's why people don't call 911": ending routine police attendance at drug overdoses. Int J Drug Policy. 2021;88:103039.

    Article  PubMed  Google Scholar 

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The authors are grateful to participants, harm reduction sites staff, Foundry staff and volunteers, and regional harm reduction coordinators for their support and participation in the study. The authors also thank Professionals for Ethical Engagement of Peers and members of the Peer2Peer Project for their insights. We respectfully acknowledge that we live and work on the unceded traditional territories of the Coast Salish Peoples, including the territories of xʷməθkʷəýəm (Musqueam), Skwxwú7mesh (Squamish), and səliĺilw̓ətaʔɬ (Tsleil-Waututh) Nations, and that the Good Samaritan Drug Overdose Act survey was conducted across the unceded traditional territories of 198 First Nations.


Author JAB is principal investigator for the Good Samaritan Drug Overdose Act evaluation, a project funded by the British Columbia Ministry of Health. The funders had no input into the study design, analysis or manuscript development.

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Authors and Affiliations



BK: designed the analysis, interpreted and analysed the data, drafted the manuscript; JX: conceptualized and designed the study, provided contributions and critically revised the manuscript; MF: designed the analysis, interpreted and analyzed the data, provided contributions and critically revised the manuscript; HP: provided contributions and critically revised the manuscript; SM: critically revised the manuscript; AS: provided contributions and critically revised the manuscript; TG: critically revised the manuscript; RV: critically revised the manuscript; JAB: conceptualized the study, provided contributions and critically revised the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Jane A. Buxton.

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Ethics approval and consent to participate

The study was approved by the University of British Columbia Office of Behavioural Rsearch Ethics (#H19–01842).

Consent for publication

All authors gave final approval to the publication of this manuscript, and all participants gave consent to participate in the study.

Competing interests

The authors declare that they have no competing interests.

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Supplementary Information

Additional file 1.

Good Samaritan Drug Overdose Act Survey. Survey questions asked to respondents either in-person or online.

Additional file 2.

Supplemental Figure and Table. A concept map of the variables used to inform multivariable model construction and a table comparing the final regression model block generated by complete case analysis vs. multiple imputation.

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Kievit, B., Xavier, J.C., Ferguson, M. et al. Intention to seek emergency medical services during community overdose events in British Columbia, Canada: a cross-sectional survey. Subst Abuse Treat Prev Policy 17, 56 (2022).

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  • 911-calling
  • Drug overdose
  • Good Samaritan law
  • Emergency medical services
  • Decriminalization
  • Harm reduction