Evidence map›Paper›PMID 18414399›Full record

ReviewBritish journal of pharmacology2008

Addiction: the clinical interface.

D Nutt, A Lingford-Hughes

Open access · bronzeAbstract readReview
In one paragraph

Review in British journal of pharmacology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.4field-weighted citation impact, top 23% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 45 citations in OpenAlex.

  1. Review
  2. Review
  3. Observational
  4. Benzodiazepine dependence and its treatment with low dose flumazenil.British journal of clinical pharmacology · 2014
    Review
  5. Article
  6. Article
  7. Article
  8. Modafinil blocks reinstatement of extinguished opiate-seeking in rats: mediation by a glutamate mechanism.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2010
    Article
  9. Neuropharmacology of addiction--setting the scene.British journal of pharmacology · 2008
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

D NuttPsychopharmacology Unit, University of Bristol, Bristol, UK. David.J.Nutt@bristol.ac.uk
A Lingford-Hughes
University of Bristol · GB

Funding

Medical Research Council G0400575Medical Research Council G1002226
6 · The paper itself

Abstract

This review gives an overview of what we see as the key issues in the human pharmacology of drugs of addiction. We review evidence of efficacy and mechanisms by which treatments act and point out areas where further work is needed. The role of agonist, partial agonist and antagonist treatments for opioid addiction is detailed and current issues relating to the mechanisms of actions at the receptor level and how to improve on compliance are discussed. The role of the brain dopamine and GABA-A systems in drug dependence is considered in relation to the growing pharmacology of these receptor systems, and the current status of novel preclinical targets reviewed. In addition, the different roles of dynamic and kinetic factors in both addiction and its treatment are discussed in relation to the underlying neuropharmacology of the disorders as defined from human and preclinical studies. Finally, some pointers to future research and especially to drug development by pharma are elaborated.

Indexed as

AnimalsBehavior, AddictiveBrainDopamineDrug DesignDrug Partial Agonismgamma-Aminobutyric AcidHumansLimbic SystemNarcotic AntagonistsNarcoticsNeurotransmitter AgentsOpioid-Related DisordersReceptors, GABAReceptors, OpioidSubstance Withdrawal SyndromeDopaminegamma-Aminobutyric AcidNarcotic AntagonistsNarcoticsNeurotransmitter AgentsReceptors, GABAReceptors, Opioid

Identifiers

PMID18414399
PMCPMC2442452
OpenAlexW1690641736

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.