ArticlePsychopharmacology2012
Love and addiction: the devil is in the differences: a commentary on "the behavioral, anatomical and pharmacological parallels between social attachment, love and addiction".
Article in Psychopharmacology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- In the company of others: social factors alter acute alcohol effects.Psychopharmacology · 2013Trial
- The Prairie Vole Model of Pair-Bonding and Its Sensitivity to Addictive Substances.Frontiers in psychology · 2019Review
- The neural mechanisms and circuitry of the pair bond.Nature reviews. Neuroscience · 2018Review
- Drinking alcohol has sex-dependent effects on pair bond formation in prairie voles.Proceedings of the National Academy of Sciences of the United States of America · 2014Article
Corrections and comments
- Comment on
Authors and funding
2 authors.
Funding
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
22948669What 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.