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Prisonersare at disproportionate risk of suffering substance-related harms. The administration of naloxone is essential to reversing opioid overdose and minimizing substance-related harms in prison and the community. The purpose of this study is to examine how naloxone administration is practiced and perceived in prison settings.

The authors conducted surveys with correctional workers in Manitoba, Canada (n = 257) to examine how they understand and feel about the need for and practice of administering naloxone in their everyday work with criminalized populations.

Respondents reported feeling a great need to administer naloxone, but most did not feel adequately trained to administer naloxone, creating the perception that criminalized populations remain at enhanced risk.

Findings provide emerging evidence of the need for training and accompanying policies and procedures for correctional workers on how to access and administer naloxone.

This paper aims to concentrate on recent innovations in flexible wearable sensor technology tailored for monitoring vital signals within the contexts of wearable sensors and systems developed specifically for monitoring health and fitness metrics.

In recent decades, wearable sensors for monitoring vital signals in sports and health have advanced greatly. Vital signals include electrocardiogram, electroencephalogram, electromyography, inertial data, body motions, cardiac rate and bodily fluids like blood and sweating, making them a good choice for sensing devices.

This report reviewed reputable journal articles on wearable sensors for vital signal monitoring, focusing on multimode and integrated multi-dimensional capabilities like structure, accuracy and nature of the devices, which may offer a more versatile and comprehensive solution.

The paper provides essential information on the present obstacles and challenges in this domain and provide a glimpse into the future directions of wearable sensors for the detection of these crucial signals. Importantly, it is evident that the integration of modern fabricating techniques, stretchable electronic devices, the Internet of Things and the application of artificial intelligence algorithms has significantly improved the capacity to efficiently monitor and leverage these signals for human health monitoring, including disease prediction.