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. 2023 Feb 15;25:e40389. doi: 10.2196/40389

Table 3.

Studies on combined alert and responder devices (N=11).

Author, year Intervention Focus Device Theme
Bristowe et al [42], 2021 Supervised consumption service Protocol for piloting a telephone-based supervised opioid consumption service Supervised consumption line Acceptability
Imtiaz et al [43], 2021 Closed-loop device formed by a sensor and nalmefene injector Presents design of the closed-loop device with sensor for SpO2a and subsequent release of nalmefene when SpO2 goes <90% Wearable noninvasive closed-loop device Description of technologies
Chan et al [24], 2021 Closed-loop device formed by a sensor and naloxone injector Presented proof of concept and evaluated in 2 environments: SIFb and hospital environment simulating opioid-induced apnea in healthy participants Closed-loop wearable injector system that measures respiration using a pair of on-body accelerometers; administers naloxone subcutaneously upon detection of an apnea Evaluation of accuracy and efficacy of device
Kanter et al [38], 2021 Wearable sensors that detect ODc and prompt an automated response; different functionalities offered but with special interest in closed-loop device that deploys naloxone Willingness of people who use drugs to wear a device (wristband) that can detect an OD and prompt a response; different options are given and open questions allow for respondents’ input Hypothetical wearable to detect an OD and elicit response with different options Acceptability
Bardwell et al [28], 2021 Alarm button to alert staff in building Uses for OD alert device by women in supported housing OD response button (Brave Button) Use or decision-making
Bivens [41], 2018 Smartphone app to use naloxone To extend PXDd to include community-based and technology-based contexts of use by analyzing 2 case examples; next, to discuss implications of community-based and technology-based PXD within communities of people who use opioids, critiquing each method and suggesting 4 contexts of use-heuristic categories to consider when designing health communication information for users in these contexts OD detection skin patch sensor (Spire) and OD response smartphone app (OD Help) Description of technologies; implications of community-based and technology-based contexts
Dhowan et al [25], 2019 Closed-loop device formed by a sensor and naloxone injector Presented proof of concept and tested leakage in laboratory simulation (leakage with saline solution) and release capacity in mice Subcutaneously placed device can be activated using an externally applied time-varying magnetic field from a wearable device; the device would be paired with an ECGe and respiratory rate sensor Proof of concept; testing of release capacity in mice
Tsang et al [26], 2021 Different smartphone-based solutions to prevent OD Willingness to use mobile phones for monitoring applications to mitigate OD; also asked about app to report tainted drug supply and receive OD alerts from others Smartphone OD alert and response app Acceptability
Fairbairn et al [45], 2017 Different interventions, including apps and sensors Overview of trends in opioid use in North America and proposing potential solutions Smartphone supervised consumption app (OD Help) Description of technologies
Goldfine et al [46], 2020 Digital interventions for substance use; wearable sensors and wireless technology To evaluate the advances in wearable and other wireless mHealthf technologies in the treatment of substance use disorders Mention of the A2D2 closed-loop device by Dhowan et al [25] Description of technologies
Beaulieu et al [44], 2020 AIg interventions for opioid use Review of the gray literature to identify AI interventions specific to opioid use disorders being developed, implemented, and evaluated Mention of HopeBand (prototype for wrist-mounted SpO2 sensor) and the A2D2 closed-loop device by Dhowan et al [25] Description of technologies

aSpO2: saturation of peripheral oxygen.

bSIF: supervised injection facility.

cOD: overdose.

dPXD: patient experience design.

eECG: electrocardiogram.

fmHealth: mobile health.

gAI: artificial intelligence.