Prevalence and Correlates of Syringe Disposal Box Use in a Philadelphia Neighborhood with High Levels of Public Drug Injection.

Background: Philadelphia (Pennsylvania, USA) is facing an unprecedented public health crisis due to fentanyl use. To combat drug-related litter, the Philadelphia Department of Public Health installed 7 public syringe disposal boxes (SDB) in Kensington, the neighborhood most impacted by the opioid crisis and home to a syringe exchange. Methods: We used street- and business-intercepts to recruit residents (N=358) and business owners/staff (N=78) who completed a brief survey with two binary items measuring observing and using SDB. Multivariable logistic regression was used to assess factors independently associated with SDB observance and use. Results: 78% (340/436) observed SDB and 34.1% (116/340) had ever used SDB among those who had seen them. Unstably housed persons had 4.3 times greater odds of observing SDB (Adjusted odds ratio [aOR= 4.29; 95% confidence interval [CI]: 1.56, 11.82) and had 2.5 times greater odds of using SDB (aOR = 2.51; 95% CI: 1.33, 4.74) as did people who use opioids (aOR = 2.61; 95% CI: 1.45, 4.72). Among individuals reporting opioid use who also saw SDB (n=123), those who were unstably housed were more likely to use SDB than those with stable housing (67.8% vs 45.3%, p=.012). Conclusion: These results suggest Kensington residents, especially those who are unstably housed, use SDB once they see them in the neighborhood.

Wearable biosensors have the potential to monitor physiological changes associated with opioid overdose among people who use drugs: A proof-of-concept study in a real-world setting.

INTRODUCTION: Wearable biosensors have the potential to monitor physiological change associated with opioid overdose among people who use drugs. METHODS: We enrolled 16 individuals who reported ≥ 4 daily opioid use events within the previous 30 day. Each was assigned a wearable biosensor that measured respiratory rate (RR) and actigraphy every 15 s for 5 days and also completed a daily interview assessing drug use. We describe the volume of RR data collected, how it varied by participant characteristics and drug use over time using repeated measures one-way ANOVA, episodes of acute respiratory depression (≤5 breaths/minute), and self-reported overdose experiences. RESULTS: We captured 1626.4 h of RR data, an average of 21.7 daily hours/participant over follow-up. Individuals with longer injection careers and those engaging in polydrug use captured significantly fewer total hours of respiratory data over follow-up compared to those with shorter injections careers (94.7 vs. 119.9 h, p = 0.04) and injecting fentanyl exclusively (98.7 vs. 119.5 h, p = 0.008), respectively. There were 385 drug use events reported over follow-up. There were no episodes of acute respiratory depression which corresponded with participant reports of overdose experiences. DISCUSSION: Our preliminary findings suggest that using a wearable biosensor to monitor physiological changes associated with opioid use was feasible. However, more sensitive biosensors that facilitate triangulation of multiple physiological data points and larger studies of longer duration are needed.