Implementation of Interventions and Policies on Opioids and Awareness of Opioid-Related Harms in Canada: A Multistage Mixed Methods Descriptive Study

Which social media platforms facilitate monitoring the opioid crisis?

Social media can provide real-time insight into trends in substance use, addiction, and recovery. Prior studies have used platforms such as Reddit and X (formerly Twitter), but evolving policies around data access have threatened these platforms' usability in research. We evaluate the potential of a broad set of platforms to detect emerging trends in the opioid epidemic. From these, we created a shortlist of 11 platforms, for which we documented official policies regulating drug-related discussion, data accessibility, geolocatability, and prior use in opioid-related studies. We quantified their volumes of opioid discussion, capturing informal language by including slang generated using a large language model. Beyond the most commonly used Reddit and X, the platforms with high potential for use in opioid-related surveillance are TikTok, YouTube, and Facebook. Leveraging many different social platforms, instead of a single platform, safeguards against sudden changes to data access and may better capture all populations that use opioids than any single platform.

Opioid-related overdose deaths among people experiencing homelessness, 2017 to 2021: A population-based analysis using coroner and health administrative data from Ontario, Canada

AIMS

To measure the change in proportion of opioid-related overdose deaths attributed to people experiencing homelessness and to compare the opioid-related fatalities between individuals experiencing homelessness and not experiencing homelessness at time of death.

DESIGN, SETTING AND PARTICIPANTS

Population-based, time-trend analysis using coroner and health administrative databases from Ontario, Canada from 1 July 2017 and 30 June 2021.

MEASUREMENTS

Quarterly proportion of opioid-related overdose deaths attributed to people experiencing homelessness. We also obtained socio-demographic and health characteristics of decedents, health-care encounters preceding death, substances directly contributing to death and circumstances surrounding deaths.

FINDINGS

A total of 6644 individuals (median age = 40 years, interquartile range = 31-51; 74.1% male) experienced an accidental opioid-related overdose death, among whom 884 (13.3%) were identified as experiencing homelessness at the time of death. The quarterly proportion of opioid-related overdose deaths attributed to people experiencing homelessness increased from 7.2% (26/359) in July-September 2017 to 16.8% (97/578) by April-June 2021 (trend test P < 0.01). Compared with housed decedents, those experiencing homelessness were younger (61.3 versus 53.1% aged 25-44), had higher prevalence of mental health or substance use disorders (77.1 versus 67.1%) and more often visited hospitals (32.1 versus 24.5%) and emergency departments (82.6 versus 68.5%) in the year prior to death. Fentanyl and its analogues more often directly contributed to death among people experiencing homelessness (94.0 versus 81.4%), as did stimulants (67.4 versus 51.6%); in contrast, methadone was less often present (7.8 versus 12.4%). Individuals experiencing homelessness were more often in the presence of a bystander during the acute toxicity event that led to death (55.8 versus 49.7%); and where another individual was present, more often had a resuscitation attempted (61.7 versus 55.1%) or naloxone administered (41.2 versus 28.9%).

CONCLUSIONS

People experiencing homelessness account for an increasing proportion of fatal opioid-related overdoses in Ontario, Canada, reaching nearly one in six such deaths in 2021.

Overdose Alert and Response Technologies: State-of-the-art Review

BACKGROUND

Drug overdose deaths, particularly from opioids, are a major global burden, with 128,000 deaths estimated in 2019. Opioid overdoses can be reversed through the timely administration of naloxone but only if responders are able to administer it. There is an emerging body of research and development in technologies that can detect the early signs of an overdose and facilitate timely responses.

OBJECTIVE

Our aim was to identify and classify overdose-specific digital technologies being developed, implemented, and evaluated.

METHODS

We conducted a "state-of-the-art review." A systematic search was conducted in MEDLINE, Embase, Web of Science, Scopus, ACM, IEEE Xplore, and SciELO. We also searched references from articles and scanned the gray literature. The search included terms related to telehealth and digital technologies, drugs, and overdose and papers published since 2010. We classified our findings by type of technology and its function, year of publication, country of study, study design, and theme. We performed a thematic analysis to classify the papers according to the main subject.

RESULTS

Included in the selection were 17 original research papers, 2 proof-of-concept studies, 4 reviews, 3 US government grant registries, and 6 commercial devices that had not been named in peer-reviewed literature. All articles were published between 2017 and 2022, with a marked increase since 2019. All were based in or referred to the United States or Canada and concerned opioid overdose. In total, 39% (9/23) of the papers either evaluated or described devices designed to monitor vital signs and prompt an alert once a certain threshold indicating a potential overdose has been reached. A total of 43% (10/23) of the papers focused on technologies to alert potential responders to overdoses and facilitate response. In total, 48% (11/23) of the papers and 67% (4/6) of the commercial devices described combined alert and response devices. Sensors monitor a range of vital signs, such as oxygen saturation level, respiratory rate, or movement. Response devices are mostly smartphone apps enabling responders to arrive earlier to an overdose site. Closed-loop devices that can detect an overdose through a sensor and automatically administer naloxone without any external intervention are still in the experimental or proof-of-concept phase. The studies were grouped into 4 themes: acceptability (7/23, 30%), efficacy or effectiveness (5/23, 22%), device use and decision-making (3/23, 13%), and description of devices (6/23, 26%).

CONCLUSIONS

There has been increasing interest in the research and application of these technologies in recent years. Literature suggests willingness to use these devices by people who use drugs and affected communities. More real-life studies are needed to test the effectiveness of these technologies to adapt them to the different settings and populations that might benefit from them.

Impact of the COVID-19 Pandemic on Patterns of Prescription Opioid Use: A Retrospective Cohort Study of Adults Without a Cancer Diagnosis Initiating Opioids Using Administrative Claims Data

BACKGROUND

The coronavirus disease 2019 (COVID-19) pandemic has led to disruptions of healthcare delivery and may thus have impacted patterns of prescription opioid use, including risk factors for long-term use.

OBJECTIVE

We aimed to describe changes in patterns of prescription opioid use due to the COVID-19 pandemic in community-dwelling adults without a cancer diagnosis.

METHODS

Using administrative claims data of the province of Quebec, Canada, a random sample of adults (aged ≥18 years) was selected. These were members of the public drug plan without a cancer diagnosis who initiated a prescription opioid in the outpatient setting between 1 January, 2018 and 28 December, 2020. We assessed the daily dose of initial prescription opioids, the number of days' supply of initial dispensing, and the total duration of opioid use over the first 6 months following initiation. We applied interrupted autoregressive integrated moving average models to examine weekly patterns of prescription opioids before and during the pandemic (starting at the lockdown). Our models included a step intervention function (immediate change) and a ramp intervention function (slope change).

RESULTS

There were 112,650 and 34,261 patients who initiated opioid therapy, respectively, in the 115-week pre-pandemic period and in the 41-week pandemic period. At the start of the lockdown, there was a significant immediate decrease in opioid treatment initiation (-326; 95% confidence interval [CI] -419 to -234) and initial daily dose (-1.7 morphine milligram equivalents; 95% CI -2.7 to -0.7). Conversely, there was a significant immediate increase in the number of days' supply of initial dispensing (1.4 days; 95% CI 1.0 to 1.8) and the total duration of opioid use over 6 months (5.7 days; 95% CI 4.6 to 6.8). All these weekly measures returned to values close to those of the pre-pandemic period 10 weeks after the start of lockdown.

CONCLUSIONS

Our findings showed that the COVID-19 lockdown had an impact on initial number of days' supply, which is a risk factor for long-term use and ultimately opioid-related harm. However, over time, prescription practices and use reverted to those observed in the pre-pandemic period.