ArticleHealth & justice2019
Confronting the opioid epidemic: public opinion toward the expansion of treatment services in Virginia.
Article in Health & justice, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed, 14 citations in OpenAlex.
- Racialized environments and syringe services program implementation: County-level factors.Drug and alcohol dependence · 2024Article
- Healthcare provider perceptions and reported practices regarding opioid prescription for patients with chronic cancer pain.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024Article
- Healthcare provider perceptions and reported practices regarding opioid prescription for patients with chronic pain.Research square · 2023Article
- Wastewater treatment plant operators report high capacity to support wastewater surveillance for COVID-19 across New York State, USA.The Science of the total environment · 2022Article
- Public Perceptions of Opioid Use Following Orthopedic Surgery: A Survey.HSS journal : the musculoskeletal journal of Hospital for Special Surgery · 2022Article
- Differences in the attitudes towards the opioid crisis between metropolitan and rural counties in Central Texas: Secondary data analysis using cross-sectional data.Preventive medicine reports · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPublic opinion polls have consistently shown Americans prefer treatment over arrest policies for opioid users. As the opioid epidemic remains a major health problem in the United States, it is important to determine the type of treatment policies the public would support. Theoretically, government should take into consideration the opinion of its constituents when deciding how to act. As such, the 2018 Virginia Commonwealth Public Policy Poll determined levels of support for the expansion of community-based treatment in one's community.
resultsOverall, the results showed 80% of Virginians (n = 788) supported the expansion of community-based treatment centers in their neighborhood, 69% supported the use of housing in their community, while less than half supported the provision of clean needles to IV drug users so they do not use dirty needles that could spread infection. Multivariate analyses revealed education, sex, and political party affiliation are significant factors in predicting support for the expansion of services.
conclusionsGiven the lack of progress made by the government in reducing the supply and demand of drugs over the course of the war on drugs, it is time to move away from punitive policies to responsible and pragmatic approaches that include the expansion of community-based treatment.
Indexed as
Identifiers
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.