Evidence map›Paper›PMID 22903349›Full record

ReviewJournal of neural transmission (Vienna, Austria : 1996)2013

Peter Riederer "70th birthday" neurobiological foundations of modern addiction treatment.

Christian Jacob

Abstract readHistorical ArticleReview
PubMed Publisher
In one paragraph

Review in Journal of neural transmission (Vienna, Austria : 1996), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 88% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Christian JacobDepartment of Psychiatry, Psychosomatics and Psychotherapy, University of Wuerzburg, Fuechsleinstrasse 15, 97080, Wuerzburg, Germany. Jacob_C@klinik.uni-wuerzburg.de
University of Würzburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alcohol dependence is caused by complex interactions of multiple susceptibility genes with little effect each and environmental factors. Candidate genes influence metabolism of alcohol, such as alcohol dehydrogenase and aldehyde dehydrogenase, and modulatory transmitter systems, such as the dopaminergic, serotonergic, acetylcholinergic, gamma-aminobutyric acidergic, and various neuropeptidergic systems. Dysfunctional behavioral choices, learning, and memory are involved in the etiology of alcohol dependence. Systematic promotion and maintenance of motivation is a lifetime challenge in the treatment of alcohol use disorders. The second step of treatment management is the discontinuation of alcohol consumption. Withdrawal symptoms can be treated with gamma-aminobutyric acidergic substances such as benzodiazepines. Long-term relapse prevention is another challenge. Multimodal treatment can include naltrexone, a non-selective opioid receptor antagonist, or acamprosate, an N-methyl-D-aspartate receptor modulator, which are first line for pharmacological treatment on the basis of recent Cochrane analyses. Due to the complexity of etiology with both psychological and neurobiological factors, future treatment management of alcoholism may include the combination of individualized disorder-specific psychotherapy and drugs acting on different neuronal pathways, on the basis of individual vulnerability. However, the question remains unsolved whether an individualized approach is feasible and how subgroups should be defined.

Indexed as

NeurobiologyAnimalsHistory, 20th CenturyHistory, 21st CenturyHumansSubstance-Related Disorders

Identifiers

PMID22903349
OpenAlexW2088379743

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.