ArticleAddictive behaviors reports2023
Access to medication for opioid use disorder supported by telemedicine and healthcare coverage: A web-based survey during the COVID-19 pandemic.
Article in Addictive behaviors reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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
3 citing papers in PubMed, 3 citations in OpenAlex.
- Interpol review of forensic drug chemistry, 2022-2025.Forensic science international. Synergy · 2026Review
- Article
- The Digital Divide and Tele-MOUD: A Qualitative Study of Opioid Community Coalition Perspectives During COVID-19.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
Background and Aims: Medications for opioid use disorder (MOUD) are highly effective in improving treatment outcomes and reducing overdose. Concerns about interrupted access to critical MOUD services led to expansion of telemedicine services during the COVID-19 pandemic in the US. The current study tested the hypothesis that telemedicine usage and healthcare coverage would be significantly associated with access to MOUD in the early phase of the COVID-19 pandemic. Design: A cross-sectional online survey was administered to a non-probability sample from June 18-July 19, 2020 using the Amazon Mechanical Turk platform. Setting: Northeastern United States during the early phase of the COVID-19 pandemic. At the time of the survey, federal regulators had waived the longstanding requirement for in-office visits for MOUD prescription receipt and provided guidance on increasing third-party payer reimbursement rates for telehealth visits in order to mitigate barriers to care associated with COVID-19 safety guidelines. Participants: Individuals 18 years or older residing in Connecticut, Massachusetts, New Jersey, New York, or Rhode Island were eligible to complete the survey. The analytic sample was participants who reported using opioids not as prescribed by a physician in the past seven days. Measurements: Demographics, telemedicine usage, and healthcare coverage were assessed as explanatory variables. The primary outcome was whether participants reported ability to access MOUD in the past four weeks. Findings: In this sample of individuals who used illicit opioids in the past week (N = 191), one in two individuals who utilized telehealth or had healthcare coverage were able to access MOUD, whereas only one in five of their respective counterparts who did not have telehealth access or healthcare coverage were able to access these medications. Conclusions: Telemedicine and healthcare coverage were associated with greater MOUD access early in the COVID-19 pandemic, when barriers to care were high. Such findings speak to the importance of not only extending but also formalizing temporary policy changes instituted during the pandemic to allow MOUD prescribing via telemedicine.
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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.