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Figure 1. Locations of Overdose Prevention Centers (OPCs) and Syringe Service Programs (SSPs) in New York City

A, New York City map excerpt indicating the locations of the 2 OPCs and the 17 SSPs. The solid gray lines demarcate police precinct boundaries. B, Hexagon indicating the immediate vicinity of the OPC in East Harlem. C, Tessellated hexagonal array indicating the neighborhood surrounding the East Harlem OPC.

Figure 2. Changes in Frequency of Nuisance Calls After Opening of an Overdose Prevention Center

The immediate vicinity of an overdose prevention center (A) is defined as a hexagonal area spanning about 6 city blocks around the site. The wider neighborhood (B) is defined as a tesselated 3-hexagon array spanning about 18 city blocks around the site. Error bars indicate SEs.

Table 1. Descriptive Statistics and Hexagon Monthly Level Data by Intervention Perioda
Table 2. Associations Between Opening OPCs and Public Safety and Disorder in Their Immediate Vicinitya
Table 3. Associations Between Opening OPCs and Public Safety and Disorder in Their Wider Neighborhoodsa
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Potier C, Laprévote V, Dubois-Arber F, Cottencin O, Rolland B. Supervised injection services: what has been demonstrated? a systematic literature review. Drug Alcohol Depend. 2014;145:48-68. doi:
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Kennedy MC, Karamouzian M, Kerr T. Public health and public order outcomes associated with supervised drug consumption facilities: a systematic review. Curr HIV/AIDS Rep. 2017;14(5):161-183. doi:
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Kral AH, Lambdin BH, Wenger LD, Davidson PJ. Evaluation of an unsanctioned safe consumption site in the United States. N Engl J Med. 2020;383(6):589-590. doi:
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Kral AH, Davidson PJ. Addressing the nation’s opioid epidemic: lessons from an unsanctioned supervised injection site in the US. Am J Prev Med. 2017;53(6):919-922. doi:
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Suen LW, Davidson PJ, Browne EN, Lambdin BH, Wenger LD, Kral AH. Effect of an unsanctioned safe consumption site in the United States on syringe sharing, rushed injections, and isolated injection drug use: a longitudinal cohort analysis. J Acquir Immune Defic Syndr. 2022;89(2):172-177. doi:
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Rigogne C. Unsafe & unsound: the future of supervised injection sites after United States v Safehouse. Fordham L Rev. 2021;90(6):2869-2907.
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Lehman CF. New York City’s drug experiment: Gotham’s “safe consumption sites” bring disorder and questionable methods to its worst-off neighborhoods. City Journal. December 6, 2021. Accessed June 6, 2023.
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Stratman J. As overdose deaths climb in NYC, East Harlem residents say drug injection site is hurting their neighborhood. New York Daily News. January 23, 2023. Accessed June 18, 2023.
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Lofaro RJ, Miller HT. Narrative politics in policy discourse: the debate over safe injection sites in Philadelphia, Pennsylvania. Contemp Drug Probl. 2021;48(1):75-95. doi:
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Johnson SR. Safe injection sites have gained a foothold in the US: are more on the way? US News & World Report. February 2, 2023. Accessed June 18, 2023.
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McGoldrick G, Whelan A. State Senate approves ban of supervised injection sites in Pa. The Philadelphia Inquirer. May 1, 2023. Accessed June 18, 2023.
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Ovalle D. Philadelphia council bans safe-injection sites in most of the city. The Washington Post. September 14, 2023. Accessed September 15, 2023.
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Lawmakers push legislation to prohibit safe injection sites in Pa. Erie News Now. May 31, 2023. Accessed June 18, 2023.
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Otterman S. Federal officials may shut down overdose prevention centers in Manhattan. New York Times. August 9, 2023. Accessed August 10, 2023.
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5 Comments for this article
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Is There a Statistically Significant Increase in Aggravated Assaults?
Jay J Xu, MS | Department of Biostatistics, University of California, Los Angeles
In the Results section, Chalfin et al. state: “There is evidence of a comparative 30.4% increase in aggravated assaults, offset by a 19.7% decrease in simple assaults. While interpreting these estimates is speculative, we note the distinction between aggravated and simple assaults can be arbitrary, depending on how an incident is reported and the use of police discretion in how it is classified. Neither result was statistically significant, and in each case the SE was approximately 11%.”

However, it appears that eTable 1 in Supplement 1 presents a different conclusion to what is described above regarding aggravated assaults. According
to eTable1, the 95% confidence interval for the percent change in aggravated assaults is (10.4, 54.0), which represents a statistically significant increase at the two-sided 5% significance level. A clarification would be greatly appreciated.
CONFLICT OF INTEREST: None Reported
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Response to Mr. Xu
Brandon del Pozo, PhD, MPA, MA | The Warren Alpert Medical School of Brown University
Thank you for your note and for a careful reading of our article. The observation that “neither result was statistically significant” refers to the overall violent and property crime analyses that opened the paragraph. Typesetting the paper brought the intervening sentence about the violent crime subtypes of felony and misdemeanor assault up from a footnote and into the main text. We missed that its new location makes it seem as if the next sentence refers to it, when it in fact refers to the sentence before it.

The correct reading should be:

“Point estimates indicate complaint
reports for violent crime declined by 7.8% (95% CI, −25.8% to 14.5%) and property crime increased by 2.1% (95% CI, −17.0% to 25.6%) in the vicinity of the 2 OPCs (Table 2); more detailed estimates for the individual crime types are available in eTable 1 in Supplement 1. Neither result was statistically significant, and in each case the SE was approximately 11%.”
CONFLICT OF INTEREST: None Reported
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A Potential Link Between Supervised Injection Sites and Aggravated Assaults: Preliminary Evidence from New York City
Jay J Xu, MS, Jeffrey S Koenig, JD | Department of Biostatistics, University of California, Los Angeles; Law Office of Jeffrey Koenig
Chalfin et al. performed a difference-in-differences (DiD) Poisson regression analysis to estimate the potential causal effect of the opening of two government-sanctioned supervised injection sites (SISs) in NYC on crime and disorder. The authors found that, in comparison to the immediate vicinities of the control sites, there was a statistically significant 30.4% (95% CI, 10.4% to 54.0%) increase in aggravated (felony) assaults in the immediate vicinities of these SISs — a noteworthy finding of their study.

In describing their study’s findings on aggravated assaults, however, Chalfin et al. asserted that “the distinction between aggravated and simple [misdemeanor] assaults
can be arbitrary,” but we find this claim puzzling. Felony and misdemeanor assaults have precise definitions in NY Penal Law [1-3], and the authors themselves noted in the Limitations section that police have limited discretion in recording calls for violent crimes, providing “reason to believe the recording of serious crimes was consistent across sites and time.”

Chalfin et al. elected to communicate their study’s findings pertaining to violent crime by constructing a “violent crime” category that pools simple and aggravated assaults together with murders and robberies; a statistically significant difference in “violent crime” contained in either the immediate vicinities of or the broader neighborhoods encompassing the two SISs relative to the corresponding areas surrounding the control sites was not observed. More broadly, the authors adopted a decidedly optimistic tone when summarizing their study’s overall findings regarding crime. In the Key Points section, they state that “initial data from NYC do not support…concerns about crime and disorder [as a result of the potential] expansion of [SISs] in US cities.” In the Abstract, they state that their study “suggest[s] the expansion of [SISs] can be managed without negative crime or disorder outcomes.” In the Discussion section, they conclude that they "did not observe significant increases in reported crime…Where estimates were significant, they pointed to modest decreases in crime reports.” Notably, in a Nov. 16, 2023 NY Times article [4], Dr del Pozo (the corresponding author) is quoted as claiming that they "did not observe any increase in crime or disorder or any of the things that people worry about when they see [an SIS] opening." We view the authors’ top-line characterization of their study results pertaining to crime and violent crime to be overly rosy as not all crimes are equally severe, and a potential SIS-attributable increase in aggravated assaults is undoubtedly a matter of public concern.

Lastly, Chalfin et al. did not perform a DiD analysis to estimate the potential causal effect of the opening of the two SISs on the prevalence of aggravated assaults in the broader neighborhoods encompassing them; the results of this analysis would be of interest.

ڱԳ
[1] Section 120.10: Assault in the first degree. NY Penal Law. https://www.nysenate.gov/legislation/laws/PEN/120.10
[2] Section 120.05: Assault in the second degree. NY Penal Law. https://www.nysenate.gov/legislation/laws/PEN/120.05
[3] Section 120.00: Assault in the third degree. NY Penal Law. https://www.nysenate.gov/legislation/laws/PEN/120.00
[4] Szalavitz, Maia. Do Safe Injection Sites Increase Crime? There’s Finally an Answer. NY Times. Nov. 16, 2023. https://www.nytimes.com/2023/11/16/opinion/safe-injection-sites-crime.html
CONFLICT OF INTEREST: None Reported
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Response to Jay J Xu, MS, Jeffrey S Koenig, JD
Aaron Chalfin, PhD | University of Pennsylvania
Three issues to clarify re: your comment:

(1) You state that it is "puzzling" that the distinction between simple and aggravated assaults can be arbitrary in police data given that NY, like all states, has statutory language that distinguishes between misdemeanor (simple) and felony (aggravated) assaults.

As researchers who work with police data – one of the study authors conducted police work for over 23 years and served as a chief of police – my coauthors and I understand there is often uncertainty about the specific facts surrounding an incident, especially at the time witness statements are
taken or an arrest is made. Police data reflects the charges that police officers believe were appropriate given their assessments of the evidence available at the time of report. Critically, police data do not reflect the offense an individual was eventually charged with or convicted of. Many crimes initially classified as a felony assault are prosecuted as misdemeanor assaults, or ultimately result in a misdemeanor assault conviction. This can happen after a prosecutor reviews the initial criminal charges or after additional evidence is collected and reviewed. For this reason – and several others – it is sensible to combine the two categories.

(2) You suggest that we have been too "optimistic" in describing our findings given that we observed a statistically significant increase in aggravated assaults, among 10 crime categories tested. Here, I urge you to be extremely cautious in drawing inferences about specific sub-categories of crime given the number of tests that were conducted.

Researchers typically report the estimated effect of an intervention on aggregated categories of crime (e.g., violent crimes). By aggregating, we protect against the well-known problem of obtaining false rejections among multiple hypothesis tests. Consider, for example, a study in which 100 outcomes were tested. Given a Type I error rate of 5%, 5 of the 100 outcomes would lead to a statistically significant result as a matter of random chance. How certain should we then be about the statistical significance of any of these findings? It would be prudent to be cautious, as there is a high chance that each of these is a false rejection.

There are adjustments that researchers can make to guard against the possibility of false rejections. An oft-used correction is that of Bonferroni in which the threshold alpha level is divided by the number of independent tests. In our case, we do not have 10 independent tests, since some of our measures consist of aggregate categories. But it is easy to see that a single statistically significant increase among 10 tests is not a banner finding.

For this reason, eTable 1, which reports our estimates for individual crime categories, is an appendix and not a featured finding. We note that a 2 crime categories also declined significantly. The aggravated assault finding may be interpreted as worth reporting, but would also then be accompanied by reporting a decline in robberies and thefts in the broader community. We preferred to reporting estimates of aggregated crime categories as these larger categories capture the ultimate effect of the intervention on public safety as broadly understood by the public, and guard against the problem of false rejections due to multiple hypothesis tests.

(3) A DiD analysis for aggravated assaults in the broader community is reported in eTable 1.
CONFLICT OF INTEREST: None Reported
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Response to Aaron Chalfin, PhD
Jay Xu, MS, Jeffrey S Koenig, JD | Department of Biostatistics, University of California, Los Angeles; Law Office of Jeffrey Koenig
(1) Let us clarify our concerns. We do not find the fact that that assaults initially classified as felonies potentially can result in a misdemeanor assault conviction (for a variety of reasons) to be puzzling; it is simply a fact, and the reverse scenario is possible as well. Rather, we find the commentary on this fact in the manuscript to be puzzling because it is virtually irrelevant to the analysis. As you noted, the analysis of misdemeanor and felony assaults in the analysis was based on arrest records, not convictions. Therefore, unless there is reason to believe that there was a structural shift in how misdemeanor and felony assaults in NYC were distinguished from one another in arrest reports during the time period examined in the study, then how arrests for misdemeanor/felony assaults that occurred during the time period examined were eventually prosecuted is an irrelevant issue. It is doubtful that how misdemeanor and felony assaults in NYC were distinguished from one another in arrest reports materially changed during this time given that they have specific definitions in NY Penal Law and because police have limited discretion in how they document arrests for violent crime (which was discussed in your paper).

(2) There are a variety of statistical and scientific perspectives on the problem of “multiple comparisons.” You referenced the Bonferroni test, which is often viewed as overly conservative, but nonetheless, let’s perform a Bonferroni test to the most appropriate extent possible based upon the crime categories listed in eTable 1. This would correspond to examining the hypothesis tests for the following seven crime categories: Property, Robbery, Misdemeanor Assault, Felony Assault, Burglary, Theft, and Vehicle Theft. The Index Crime, Violent, and Assault categories are excluded because they are defined at least in part by one or more of the 7 aforementioned crime sub-categories. The p-values are not explicitly provided in eTable 1, but the relevant regression estimates and their standard error estimates (rounded to 2 decimal places) are provided, so we can take their ratios to obtain approximate values of the z-statistics. For felony assaults, the approximate z-statistic is 0.27/0.08 = 3.38, resulting in a p-value of 2*(1-Phi(3.38)) = 7e-4, where Phi() denotes the cumulative distribution function of the Standard Normal Distribution. This p-value is an order of magnitude smaller than the Bonferroni p-value threshold of 0.05/7 = 7e-3. As stated in our previous Comment, we believe that your study detected a potential signal of an increased risk in felony-type assaults in the vicinity of an SIS that is caused by its presence, which is a noteworthy finding of public policy relevance.

Your point regarding the merits of aggregated crime categories is noted, but it remains the case that not all crimes are equally severe or similar in nature, and we view the consideration of a number of meaningful sub-categories to be prudent. The types of assaults that are legally classified as felonies in NY are very serious in nature (involving weapons and/or intent to cause serious bodily injury), and we do not think that public concerns about the prospect of felony-type assaults increasing in the vicinity of SISs would necessarily be assuaged just because there might not be a discernibleincrease in the prevalence of aggregate “violent crime” incidents (as defined in the paper).

(3) Thank you for pointing us to the DiD analysis results for the examined crime sub-categories for the broader community. This analysis found a statistically significant decline in thefts and robberies in the broader community surrounding the SISs (relative to the control sites), but a statistically significant increase in vehicle thefts in the broader community surrounding the SISs (relative to the control sites). If we apply the Bonferroni test to the 7 aforementioned crime sub-categories, in an attempt to guard against Type I errors, the estimated p-values for thefts and robberies (0.017 and 0.023, respectively) exceed the Bonferroni p-value threshold, resulting in statistically insignificant findings for thefts and robberies. On the other hand, the estimated p-value for vehicle thefts in the broader community (0.003) is below the Bonferroni p-value threshold, thereby satisfying the additional degree of scrutiny required by the Bonferroni test. We believe that this analysis detected a potential signal of an increased risk of vehicle thefts in the broader neighborhood surrounding an SIS that is caused by its presence, which is a noteworthy finding of public policy relevance.

In summary, we believe that the study’s findings pertaining to felony assaults (and to a lesser degree, car thefts), suggest that there may be important public safety risks resulting from the presence of SISs. At minimum, we believe that a substantial amount of further study on the potential causal relationship between SISs and crime is imperative before cities proceed with opening more SISs.
CONFLICT OF INTEREST: None Reported
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Original Investigation
Public Health
DZ𳾲13, 2023

Overdose Prevention Centers, Crime, and Disorder in New York City

Author Affiliations
  • 1National Bureau of Economic Research, University of Pennsylvania, Philadelphia
  • 2Division of General Internal Medicine, Rhode Island Hospital, The Warren Alpert Medical School of Brown University, Providence
  • 3University of Connecticut School of Public Policy, Hartford
JAMA Netw Open. 2023;6(11):e2342228. doi:10.1001/jamanetworkopen.2023.42228
Key Points

Question What trends in crime and disorder were associated with the opening of 2 overdose prevention centers (OPCs) in New York City (NYC) in November 2021?

Findings This cohort study of 2 OPCs and 17 syringe service programs found no significant increases in crimes recorded by the police or calls for emergency service in NYC neighborhoods where 2 OPCs were located. Consistent with the city’s commitment to ensuring clients could use the centers free from law enforcement interference, large, statistically significant declines in police narcotics enforcement around the OPCs were observed.

Meaning These findings suggest that concerns about crime and disorder remain substantial barriers to the expansion of OPCs in US cities, and initial data from NYC do not support these concerns.

Abstract

Importance The first government-sanctioned overdose prevention centers (OPCs) in the US opened in New York City (NYC) in November 2021 amid concerns that they may increase crime and disorder, representing a significant political challenge to OPCs.

Objective To identify whether opening the first 2 government-sanctioned OPCs in the US was associated with changes in crime and disorder.

Design, Setting, and Participants In this cohort study, difference-in-differences Poisson regression models were used to compare crime, residents’ requests for assistance for emergencies and nuisance complaints, and police enforcement in the vicinity of NYC’s 2 OPCs with those around 17 other syringe service programs that did not offer overdose prevention services from January 1, 2019, through December 31, 2022.

Main Outcomes and Measures Changes in the volume of crimes reported by the public or observed by police; arrests for drug possession and weapons; 911 calls and 311 calls regarding crime, public nuisances, and medical events; and summonses issued by police for criminal infractions in both the immediate vicinity of the sites (ie, a hexagonal area spanning about 6 city blocks) and their wider neighborhoods (ie, a tesselated 3-hexagon array spanning about 18 city blocks).

Results No significant changes were detected in violent crimes or property crimes recorded by police, 911 calls for crime or medical incidents, or 311 calls regarding drug use or unsanitary conditions observed in the vicinity of the OPCs. There was a significant decline in low-level drug enforcement, as reflected by a reduction in arrests for drug possession near the OPCs of 82.7% (95% CI, −89.9% to −70.4%) and a reduction in their broader neighborhoods of 74.5% (95% CI, −87.0% to −50.0%). Significant declines in criminal court summonses issued in the immediate vicinity by 87.9% (95% CI, −91.9% to −81.9%) and in the neighborhoods around the OPCs by 59.7% (95% CI, −73.8% to −38.0%) were observed. Reductions in enforcement were consistent with the city government’s support for the 2 OPCs, which may have resulted in a desire not to deter clients from using the sites by fear of arrest for drug possession.

Conclusions and Relevance In this difference-in-differences cohort study, the first 2 government-sanctioned OPCs in the US were not associated with significant changes in measures of crime or disorder. These observations suggest the expansion of OPCs can be managed without negative crime or disorder outcomes.

Introduction

Overdose prevention centers (OPCs), also termed safe injection or safe consumption sites, are facilities where individuals consume illicit drugs under the observation of trained staff to mitigate risk of fatal overdose. The first officially acknowledged OPC was opened in the Netherlands in the 1970s, and OPCs have since proliferated throughout Europe, Canada, and Australia.1,2 By intervening with use of naloxone, oxygen, and other overdose mitigation techniques, OPCs prevent fatal opioid overdoses on their premises.3,4

Amid an unprecedented overdose crisis,5 the US has been hesitant to implement OPCs as part of its fatal overdose prevention strategy; until recently, the handful of domestic OPCs operated clandestinely.6,7 Concerns persist that they openly sanction criminalized activity8,9 and that people who use drugs at OPCs might generate additional crime and nuisance conditions. Given that locations selected for OPCs often experience sociodemographic conditions that leave them more vulnerable to these problems,10,11 these concerns have resulted in substantial political opposition,12,13 similar to syringe service programs (SSPs) when they were introduced in the 1980s.14,15

In late November 2021, public officials in New York City (NYC) announced that 2 OPCs had commenced operations, making them the first officially sanctioned sites in the US.16 By February 2023, more than 2300 clients had visited the centers approximately 55 000 times, requiring more than 700 overdose interventions with no fatalities.17 While these data suggest OPCs are well equipped to reduce the risk of fatal overdoses, their effects on crime and disorderly behavior have yet to be evaluated.

As plans to open OPCs proceed in Rhode Island, Massachusetts, and elsewhere,17 lawmakers in Pennsylvania passed a preemptive measure effectively banning them18,19 due to concerns that include increased crime and disorder.20 In NYC, the federal prosecutor for Manhattan has characterized the city’s OPCs as unlawful and threatened to close them.21 Officials tasked with implementing effective public health strategies for reducing fatal overdoses would therefore benefit from an evaluation of the changes in crime and disorder associated with opening OPCs in a US setting.22 This study used administrative data to conduct such an evaluation.

Methods
Study Setting

This difference-in-differences cohort study evaluated the first 2 government-sanctioned OPCs in the US, which opened in NYC on November 30, 2021. Operated by OnPoint NYC, a harm reduction coalition, they operate in the Manhattan communities of East Harlem and Washington Heights, at the locations of long-established SSPs that provide access to naloxone, harm reduction resources, and linkages to treatment for substance use disorder and infectious diseases. Our primary comparison group consisted of the 17 other state-authorized brick-and-mortar SSPs located throughout NYC that operated at least 3 days a week and that have not, to date, offered on-site overdose prevention services.23 We also constructed 2 alternative comparison groups of locations with similar levels of serious felony crime reports and drug arrests during the 2 years before the OPCs began operating. We followed the combined checklist in the Strengthening the Reporting of Observational Studies in Epidemiology () reporting guideline as appropriate for a difference-in-differences study. This study did not constitute human subjects research and is exempt from institutional review board review and informed consent requirements per the Common Rule.24,25

Data Sources

We leveraged 5 administrative data sets that were placed in the public domain by the City of New York and are available via the NYC Open Data portal.26 These included criminal complaints, arrest reports, criminal court summonses, 911 call records, and 311 call records from January 1, 2019, through December 31, 2022. Criminal complaints reflect public reports of crimes to law enforcement and incidents independently observed by police. Arrest reports record both proactive arrests made by the NYC Police Department and those made after a person has allegedly committed a crime. Both arrest and complaint reports contain the type of crime alleged and its date, time, and location of occurrence. Criminal court summonses are tickets issued by police for minor infractions that include crime and violations such as drug possession, trespassing, and public alcohol consumption. The city’s 911 and 311 records document calls regarding criminal incidents, medical events, and quality of life concerns such as discarded syringes, illicit drug use, trespass, homelessness, unsanitary conditions, excessive noise, and other reports of disorder. The city’s 911 system is used to report emergencies, and the 311 system is used to report nonemergency concerns. All records provide latitude and longitude coordinates to the nearest midblock or intersection of the incident.

Approach

We identified changes in crime and disorder associated with the opening of OPCs using a difference-in-differences regression framework in which we compared changes in outcomes around the 2 OPCs with the changes around comparison sites. In our primary models, comparison sites consisted of the 17 SSPs that did not provide on-site overdose prevention. A map of the 2 OPCs and the 17 comparison sites is provided in Figure 1. Our analysis considered 2 aggregate crime categories (violent and property crimes), 2 categories of proactive arrests (drug and weapons possession), 8 types of public calls for service (911 calls regarding criminal activity, trespass, and medical emergencies and 311 calls regarding complaints about drug use, unsanitary conditions, excessive noise, abandoned vehicles, and homelessness), and police issuance of criminal court summonses.

New York City’s 2 OPCs opened on November 30, 2021. Our preintervention period was January 1, 2019, to November 29, 2021, and our postintervention period was December 1, 2021, through December 31, 2022. Spatial analyses of crime and disorder were conducted in the immediate vicinity of OPCs and comparison sites and, to assess possible spillover effects, in the wider neighborhoods surrounding these sites. Following the methods of prior studies with a similar objective,27-29 we divided the city into discrete areas by overlaying a block-level map of NYC with a tessellated hexagonal array, centering the hexagons to demarcate areas around OPCs and comparison sites. Hexagons were used because they can be tessellated without geographic omission or the need for alteration and have the least internal variation in their radii. For analyses of the immediate vicinity, each site was placed at the geographic center of a hexagon spanning about 6 city blocks (22 acres; 88 919 m2); for analyses of broader neighborhoods, sites were placed at the center of a tesselated 3-hexagon array spanning about 18 city blocks (66 acres; 266 757 m2). Figure 1B and C offer an example using the East Harlem OPC. Aggregate population-weighted sociodemographic zip code–level data for the neighborhoods around the OPCs and comparison SSPs are presented in eTable 8 in Supplement 1.

Statistical Analysis

Data were aggregated to the hexagon monthly level, and Poisson regression models were used to estimate relative changes in crime and disorder between the 2 OPCs and comparison sites. The models, which are detailed in the eMethods in Supplement 1, condition on site and on month-year fixed effects that account for time-invariant differences between areas and citywide time trends. Significance was prespecified using 2-tailed 95% CIs. To account for arbitrary serial correlation and heteroskedasticity in the regression errors, SEs were clustered at the hexagon level. As a quasi-experimental approach, difference-in-differences models permit causal inference under an assumption of parallel preintervention and counterfactual trends across areas with OPCs and comparison sites. Using a similar count data regression described in the eMethods in Supplement 1, we empirically verified that intervention and comparison sites were experiencing common trends in key outcomes prior to the OPCs commencing operation.

For each outcome variable, we calculated the raw Poisson coefficient and SE and its percentage change. To provide context for percentage changes, we also calculated the preintervention mean of the 2 OPCs. Sensitivity analyses are presented in the eMethods in Supplement 1. They include estimates arising from an alternative comparison group, estimates that additionally condition on preintervention trends and police patrol borough linear time trends, and estimates from negative binomial regressions. We used R statistical software, version 4.2.0 (R Project for Statistical Computing) for all analyses. The data we used are in the public domain and did not require adjustments or deletions for missing values.26

Results
Descriptive Statistics

From January 1, 2019, through December 31, 2022, across the 2 OPCs and the 17 comparison sites, there were 4414 serious criminal complaints (monthly hexagon mean [SD], 4.8 [5.0]), 138 402 calls to 911 (monthly hexagon mean [SD], 151.7 [135.3]), 20 876 calls to 311 (monthly hexagon mean [SD], 22.9 [24.8]), and 2123 criminal court summonses (monthly hexagon mean [SD], 2.3 [4.4]). The mean number of monthly incidents by subtype in the immediate vicinity of the sites before and after the intervention are presented in Table 1. Overall, felonies rose at both OPC locations by 21.0% (mean [SD], 6.7 [4.5] to 8.1 [5.5]) and at SSP comparison locations by 18.0% (mean [SD], 4.4 [4.7] to 5.2 [5.5]), which is consistent with the general rise in crime in NYC during the study period, an increase predominantly driven by property crime.30

Around the 2 OPCs, monthly mean (SD) 911 calls for crime and other emergencies decreased 30.1% from 152.0 (85.2) to 105.2 (16.4) while remaining approximately flat in the comparison locations (106.8 [94.5] vs 103.4 [92.0]; decrease of 3.1%); 911 calls for medical emergencies decreased around the OPCs by 50.1% (mean [SD], 90.4 [66.0] to 44.6 [12.3]) while declining by 8.6% around the comparison locations (mean [SD], 39.1 [43.1] to 35.7 [46.9]). Monthly 311 calls for drug activity rose 106.0% around the OPCs (mean [SD], 0.5 [0.9] to 1.3 [3.1]) and 33.3% around the SSP comparison sites (mean [SD], 0.3 [1.0] to 0.4 [0.9]). eFigure 5 in Supplement 1 shows the raw monthly incident counts per site.

Regression Estimates
Recorded Crime

Point estimates indicate complaint reports for violent crime declined by 7.8% (95% CI, −25.8% to 14.5%) and property crime increased by 2.1% (95% CI, −17.0% to 25.6%) in the vicinity of the 2 OPCs (Table 2); more detailed estimates for the individual crime types are available in eTable 1 in Supplement 1. Standard errors become larger for these estimates, precluding confident conclusions about changes in individual crime types. There is evidence of a comparative 30.4% increase in aggravated assaults, offset by a 19.7% decrease in simple assaults. While interpreting these estimates is speculative, we note the distinction between aggravated and simple assaults can be arbitrary, depending on how an incident is reported and the use of police discretion in how it is classified. Neither result was statistically significant, and in each case the SE was approximately 11%. We did not observe significant changes in complaints of violent or property crime in the broader neighborhood, with results similar to the immediate vicinity (Table 3).

Calls to 911 and 311

Our analysis did not reveal a significant change in the total number of crime-related 911 calls in the immediate vicinity of the OPCs (Table 2). Estimates for calls about crime complaints were negative (−28.5% [95% CI, −62.3% to 35.6%]), and the trespass estimate was significant (−25.3% [95% CI, −44.2% to 0%]). The estimate for medical calls was likewise negative, but very imprecise (−45.9% [95% CI, −75.2% to 18.1%]). Nuisance calls, an aggregation of 911 calls for trespass complaints and 311 calls for drug activity, noise, abandoned vehicles, and homelessness, did not exhibit a significant change (2.5% [95% CI, −30.1% to 50.3%]).

Figure 2 provides additional detail on changes in specific types of 311 calls. In both the immediate vicinity of the OPCs and the broader neighborhood, calls for abandoned vehicles rose (591.4% [95% CI, 313.4% to 1056.5%]), while calls about homelessness fell (−69.5% [95% CI, −88.6% to −18.2%]). Drug-related calls did not change significantly (101.9% [95% CI, −31.0% to 491.1%]), though the base rate (0.5 calls per hexagon month) was low, and the estimate is therefore imprecise. While 311 calls for discarded syringes would be of interest in this study, the number of these calls was too low at all locations and times—fewer than 1 per year—to conduct an analysis with confidence.

In the broader neighborhoods around the OPCs (Table 3), crime-related 911 calls fell by 15.9% (95% CI, −25.1% to −5.6%) around the OPCs relative to comparison areas. We also observed a 33.4% decline in 911 calls related to medical conditions (95% CI, −53.0% to −5.5%). We did not observe a significant change in nuisance-related calls (−16.6% [95% CI, −47.7% to 33.1%]).

Police Enforcement

After the OPCs opened, relative to SSP comparison sites, arrests for drug and weapons possession in the immediate vicinity of the OPCs decreased by 82.7% (95% CI, −89.9% to −70.4%) and by 56.5% (95% CI, −79.4% to −8.1%), respectively, both significant results. We similarly observed a 70.2% decrease in weapons arrests (95% CI, −83.0% to −47.5%) and a 74.5% decrease in drug arrests (95% CI, −87.0% to −50.0%) in the broader neighborhood around the OPCs. These results are corroborated by an analysis of criminal court summonses issued around the 2 OPCs, which comparatively decreased by 87.9% in their immediate vicinity (95% CI, −91.9% to −81.9%) and by 59.7% in the broader community (95% CI, −73.8% to −38.0%).

Sensitivity Analyses

We reestimated our models with controls for preintervention trends (eTable 2 in Supplement 1) using negative binomial regression instead of Poisson regression (eTable 3 in Supplement 1) and adding police patrol borough time trends (eTable 4 in Supplement 1). Event study estimates are presented in eFigures 1 to 3 in Supplement 1. eFigure 4 in Supplement 1 presents a falsification test that randomly assigned an intervention indicator variable to 2 of the 17 SSP sites used as comparisons, resulting in 136 intervention-comparison site combinations. The test suggested the significant changes observed were unlikely to be due to chance. Testing for relative differences in key outcomes between intervention and comparison areas before the OPCs were opened, the analyses do not suggest a violation of the common trends assumption required by difference-in-differences designs.

We also report estimates from 2 alternative comparison groups using other hexagons in the city with similar levels of violent crime and drug arrests (eFigures 8 and 9 in Supplement 1). We added an alternative comparison group for hexagons with high levels of drug arrests since the East Harlem OPC site, in particular, had a relatively high number of drug arrests compared with other locations in the city (eFigure 6 in Supplement 1). The trends observed were similar to those of our primary model (eFigure 7 in Supplement 1). Descriptive statistics are presented in eTable 5 in Supplement 1. Regression estimates for comparison areas with high levels of crime are reported in eTable 6 in Supplement 1; estimates for comparison areas with high levels of drug arrests are reported in eTable 7 in Supplement 1. Event study estimates for the 2 alternative designs are reported in eFigures 10 and 11 in Supplement 1. In all cases, point estimates were consistent with those drawn from our primary models. In eFigure 12 in Supplement 1, we plotted estimates from 5 different specifications for each type of 311 call. Estimates were likewise consistent across models.

Discussion

To our knowledge, this cohort study is the first to measure the crime and nuisance trends associated with the opening of government-sanctioned OPCs in a US city. In accordance with prior findings that SSPs are not associated with increases in crime and disorder14 and analyses of OPCs outside of the US,1,3,31 we did not observe significant increases in reported crime, disorder complaints, or related 311 and 911 calls. Where estimates were significant, they pointed to modest decreases in crime reports and medical calls.

The comparative reduction in drug possession arrests and criminal court summonses around the OPCs after they opened was notable. In a city where the police department reports to the mayor’s office, these decreases were consistent with the mayor’s pronounced support for the OPCs32,33 and the city’s intention to open several additional locations.13,34 The decreases may therefore reflect the municipality’s desire to not deter clients from visiting OPCs if they fear arrests for narcotics possession. In effect, the results may indicate a bundled intervention that merits further research: the addition of overdose prevention services and coordination with police.35 While our estimates may therefore not isolate the marginal association of overdose prevention services with crime and disorder in the narrowest sense, they suggest NYC was able to successfully operate OPCs without compromising public safety.

It is possible that public scrutiny placed on the nation’s first sanctioned OPCs led staff to be conscientious about monitoring local safety and public order conditions. Given that 36.9% of the OPC’s clients reported being homeless and 75.9% of all clients state they would have used drugs in public or semipublic places in the instances where they had consumed them at the OPCs,16 it is plausible that the OPCs absorbed behaviors that would have generated 911 calls, 311 calls, and resulting police activity.

Limitations

The principal limitations of this study are inherent in the use of police administrative data. Calls to 911 and 311 are unverified reports of a given incident or behavior. Some calls could be unfounded or duplicate reports, or people may not report the incidents they observe at all. This would not affect the results herein if such reporting behaviors were consistent across our study settings, but it is possible that residents concerned by the prospect of OPCs may have been more active in reporting crime and disorder after the centers opened.

Similar concerns prevail about police activity. Police officers have considerable discretion in recording calls for disorder and nonviolent misdemeanors, as well as their classification and enforcement.36 The use of discretion regarding illicit drug-related activity observed herein aligns with consistent support for OPCs by NYC government, but it is possible that it extended to other behaviors of interest in this study. However, police have considerably less discretion when a resident makes an allegation (opposed to incidents that officers observe independently), or when the incident is considered a violent or serious crime. Alongside 911 call records, which are not filtered through police discretion, this provides reason to believe the recording of serious crimes was consistent across sites and time.

Finally, we examined the association of the OPCs with administratively recorded crimes, arrests, and calls for service, which may or may not reflect community residents’ perceptions of safety or disorder. Even if OPCs did not bring additional crime to a community, residents may nevertheless experience higher levels of fear or discomfort in their presence. Future research should investigate local attitudes toward OPCs and how they evolve over time.

Conclusions

Evaluating a politically controversial public health intervention requires assessing effects on a community that go beyond its proximate health outcomes.22 More research is required to conclude that the 2 OPCs in NYC will not be associated with localized increases in crime and disorder over a longer span of time. However, objections to their implementation that rest on these concerns are not necessarily supported by our initial observations in this cohort study. Our findings also suggest that a cooperative relationship between police and OPCs can enhance their effectiveness as a lifesaving intervention while minimizing behaviors that would erode public support for such initiatives.

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Article Information

Accepted for Publication: September 25, 2023.

Published: November 13, 2023. doi:10.1001/jamanetworkopen.2023.42228

Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2023 Chalfin A et al. vlog Open.

Corresponding Author: Brandon del Pozo, PhD, MPA, MA, Division of General Internal Medicine, Rhode Island Hospital, DGIM Research, 593 Eddy St, Plain Street Building, Providence, RI 02903 (bdelpozo@lifespan.org; brandon_del_pozo@brown.edu).

Author Contributions: Dr Mitre-Becerril had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. Drs Chalfin, del Pozo, and Mitre-Becerril contributed equally as co–first authors.

Concept and design: All authors.

Acquisition, analysis, or interpretation of data: All authors.

Drafting of the manuscript: All authors.

Critical review of the manuscript for important intellectual content: All authors.

Statistical analysis: Chalfin, Mitre-Becerril.

Obtained funding: del Pozo.

Administrative, technical, or material support: Mitre-Becerril.

Supervision: Chalfin, Mitre-Becerril.

Conflict of Interest Disclosures: None reported.

Funding/Support: This study was supported by awards K01DA056654 from the National Institute on Drug Abuse and P20GM125507 from the National Institute of General Medical Sciences (Dr del Pozo).

Role of the Funder/Sponsor: The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.

Disclaimer: The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

Data Sharing Statement: See Supplement 2.

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