ReviewMolecular psychiatry2022
Data needs and models for the opioid epidemic.
Review in Molecular psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Interactive network visualization of opioid crisis research: a tool for reinforcing data linkage skills for public health policy researchers.Frontiers in artificial intelligence · 2024Pooled it
- Data Dashboard Acceptability, Use, and Perceived Effectiveness in Disseminating Local Overdose Data and Resources in a Rural New York State County: A Cross-Sectional Study.Online journal of public health informatics · 2025Article
- Empowering Communities and Enhancing Public Safety: Stakeholders' Perspectives on Opioid Overdose Prevention Strategies in Boston.Community mental health journal · 2025Article
- Are Treatment Services Ready for the Use of Big Data Analytics and AI in Managing Opioid Use Disorder?Journal of medical Internet research · 2025Article
- Prevalence of adults with stimulant misuse and/or stimulant use disorder in Massachusetts, USA, 2014-2021.Addiction (Abingdon, England) · 2025Article
- Early detection and prediction of non-fatal drug-related incidents and fatal overdose outbreaks using the Farrington algorithm.Addiction (Abingdon, England) · 2025Article
- Model-driven decision support: A community-based meta-implementation strategy to predict population impact.Annals of epidemiology · 2024Article
- Forecasting drug-overdose mortality by age in the United States at the national and county levels.PNAS nexus · 2024Article
- Functional brain region-specific neural spheroids for modeling neurological diseases and therapeutics screening.Communications biology · 2023Article
- Leveraging the Full Continuum of Care to Prevent Opioid Use Disorder.Prevention science : the official journal of the Society for Prevention Research · 2023Article
- Opioid death projections with AI-based forecasts using social media language.NPJ digital medicine · 2023Article
- Opioid-related harms and care impacts of conventional and AI-based prescription management strategies: insights from leveraging agent-based modeling and machine learning.Frontiers in digital health · 2023Article
- Functional selectivity of EM-2 analogs at the mu-opioid receptor.Frontiers in pharmacology · 2023Article
- Characterizing Help-Seeking Searches for Substance Use Treatment From Google Trends and Assessing Their Use for Infoveillance: Longitudinal Descriptive and Validation Statistical Analysis.Journal of medical Internet research · 2022Article
- Integration of Privacy Protection and Blockchain-Based Food Safety Traceability: Potential and Challenges.Foods (Basel, Switzerland) · 2022Review
- Visual Analytics for Data-Driven Understanding of the Substance Use Disorder Epidemic.Inquiry : a journal of medical care organization, provision and financingArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The evolving nature of the opioid epidemic and continued increases in overdose deaths highlight a need for fundamental change in the collection and use of surveillance data to link them to implementation of effective service, treatment, and prevention approaches. Yet at present, the quality and timeliness of US surveillance data often limits data-driven approaches. We review current information needs, summarize limitations of existing data, propose complementary surveillance resources, and provide examples of promising approaches designed to meet the needs of data end-users. We conclude that there is a need for an approach that focuses on the needs of data end-users, such as public health systems leaders, policy makers, public, nonprofit and prepaid healthcare systems, and other systems, such as the justice system. Such an approach, which may require investments in new infrastructure, should prioritize improvements in data timeliness, sample representativeness, database linkage, and increased flexibility to adapt to shifts in the environment, while preserving the privacy of survey participants. Use of simulations, distributed research and data networks, alternative data sources, such as wastewater or digital data collection and use of blockchain technology, are some of promising avenues toward an improved and more user-centered surveillance system.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.