For the first time in history, the United States surpassed 100 000 overdose-related deaths in a 12-month period, driven by synthetic opioids such as fentanyl. Also, for the first time, potential chemical weapons are readily available on the streets and the dark web. Opioids represent a rare trifecta, used for licit pain management, as an illicit drug of abuse, and with potential use as a weapon of terror. Community-based Response to Drug Overdose (CReDO) is an initiative to unite agencies, disciplines, government, and private partners in 1 coordinated opioid emergencies response plan under nationwide standards, and can be integrated into the disaster medicine discipline due to the risk of mass casualty incidents involving fentanyl or its derivatives. Attention to the opioid crisis through CReDO will save lives by promoting information sharing between disciplines, shortened response time to overdose clusters, community collaboration to identify criminal distribution networks, and holistic approaches to addiction.

The opioid crisis continues to affect many areas worldwide, raising questions regarding prescribing indications. There is no consensus on negotiating the need for pain relief and the potential for medically prescribed opioid-related harm/addiction. These issues present an enormous educational challenge to physicians in training, particularly those whose mandate is to understand and respond to varying forms of pain. This article examines the perspectives and educational challenges faced by two psychiatry residents from different parts of the globe during the crisis. Is the educational experience of future psychiatrists sufficient to prepare them for the responsibilities that lie ahead?

The opioid crisis in the USA requires immediate action through clinical and translational research. Already built network infrastructure through funding by the National Institute on Drug Abuse (NIDA) and National Center for Advancing Translational Sciences (NCATS) provides a major advantage to implement opioid-focused research which together could address this crisis. NIDA supports training grants and clinical trial networks; NCATS funds the Clinical and Translational Science Award (CTSA) Program with over 50 NCATS academic research hubs for regional clinical and translational research. Together, there is unique capacity for clinical research, bioinformatics, data science, community engagement, regulatory science, institutional partnerships, training and career development, and other key translational elements. The CTSA hubs provide unprecedented and timely response to local, regional, and national health crises to address research gaps [Clinical and Translational Science Awards Program, Center for Leading Innovation and Collaboration, Synergy paper request for applications]. This paper describes opportunities for collaborative opioid research at CTSA hubs and NIDA–NCATS opportunities that build capacity for best practices as this crisis evolves. Results of a Landscape Survey (among 63 hubs) are provided with descriptions of best practices and ideas for collaborations, with research conducted by hubs also involved in premier NIDA initiatives. Such collaborations could provide a rapid response to the opioid epidemic while advancing science in multiple disciplinary areas.

Introduction: Understanding the spatial distribution of opioid abuse at the local level may facilitate community intervention strategies. The purpose of this analysis was to apply spatial analytical methods to determine clustering of opioid-related emergency medical services (EMS) responses in the City of Calgary. Methods: Using opioid-related EMS responses in the City of Calgary between January 1st through October 31st, 2017, we estimated the dissemination area (DA) specific spatial randomness effects by incorporating the spatial autocorrelation using intrinsic Gaussian conditional autoregressive model and generalized linear mixed models (GLMM). Global spatial autocorrelation was evaluated by Morans I index. Both Getis-Ord Gi and the LISA function in Geoda were used to estimate the local spatial autocorrelation. Two models were applied: 1) Poisson regression with DA-specific non-spatial random effects; 2) Poisson regression with DA-specific G-side spatial random effects. A pseudolikelihood approach was used for model comparison. Two types of cluster analysis were used to identify the spatial clustering. Results: There were 1488 opioid-related EMS responses available for analysis. Of the responses, 74% of the individuals were males. The median age was 33 years ( IQR: 26-42 years) with 65% of individuals between 20 and 39 years, and 27% between 40 and 64 years. In 62% of EMS responses, poisoning/overdose was the chief complaint. The global Morans Index implied the presence of global spatial autocorrelation. Comparing the two models applied suggested that the spatial model provided a better fit for the adjusted opioid-related EMS response rate. Calgary Center and East were identified as hot spots by both types of cluster analysis. Conclusion: Spatial modeling has a better predictability to assess potential high risk areas and identify locations for community intervention strategies. The clusters identified in Calgarys Center and East may have implications for future response strategies.