Addressing the Opioid Crisis Through Community-Based Harm Reduction Programs

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Abstract

This systematic review synthesises evidence on the community-based harm reduction program and its role in the opioid crisis, based on 78 studies published between 2012 and April 2023. The review reviewed the key interventions, such as syringe service programs (SSPs), overdose education and naloxone distribution (OEND), overdose prevention centres (OPCs), drug-checking (e.g., fentanyl test strips), and low-barrier medication for opioid use disorder (MOUD) and assessed the outcomes of overdose mortality, infectious disease transmission, linkage to care, and program feasibility. Quality and reliable evidence suggest that OEND scale-up is linked to quantifiable decreases in overdose mortality, SSPs have significant effects on the reduction of HIV and HCV infections, and OPCs report no on-site deaths with a large volume of visits and enhanced service utilisation. Co-located services and integrated SSP-MOUD models have an incomparable effect on boosting MOUD initiation and retention. Combined methods of SSP, naloxone, and MOUD have favourable cost-effectiveness ratios, according to a cost-effectiveness analysis. Chronic obstacles include punitive paraphernalia legislation, unreliable short-term financing, regulatory barriers, stigma, and service gaps in rural areas that undermine scale and fairness. The review identifies important gaps in implementation science, the longitudinal efficacy of newer interventions (e.g., OPCs, drug-checking), and interventions to decrease multi-level stigma. There are policy implications of integrating harm reduction into the everyday health infrastructure through steady funding, deregulation to increase the number of providers, mobile and mail models of rural access, and intentional communication with the public to promote legitimacy. To sum up, community-based harm reduction is an evidence-based, life-saving model of public health; now is the time to learn how to translate efficacy into equitable, sustainable implementation at scale.

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