ArticleAddiction (Abingdon, England)2016
The use of public health infrastructure probably the best strategy for national and large-scale naloxone distribution programmes.
Article in Addiction (Abingdon, England), 2016. 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.
- The implementation of take-home naloxone: Lessons learned from a 3-year take-home naloxone project in Germany.Harm reduction journal · 2025Article
- What lessons from Norway's experience could be applied in the United States in response to the addiction and overdose crisis?Addiction (Abingdon, England) · 2022Article
- Protocol for a multi-site study of the effects of overdose prevention education with naloxone distribution program in Skåne County, Sweden.BMC psychiatry · 2020Article
Corrections and comments
- Comment on
Authors and funding
2 authors.
Funding
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
27145487What 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.