| Title |
Genetics of Dopamine and its Contribution to Cocaine Addiction
|
|---|---|
| Published in |
Behavior Genetics, October 2006
|
| DOI | 10.1007/s10519-006-9115-2 |
| Pubmed ID | |
| Authors |
Colin N. Haile, Thomas R. Kosten, Therese A. Kosten |
| Abstract |
Cocaine addiction is a major health and social problem for which there are presently no effective pharmacotherapies. Many of the most promising medications target dopamine based on the large literature that supports its role in addiction. Recent studies show that genetic factors are also important. Rodent models and gene knock-out technology have helped elucidate the involvement of specific genes in the function of the dopamine reward system and intracellular cascades that lead to neuronal changes in this system. Human epidemiological, linkage, and association studies have identified allelic variants (polymorphisms) that give rise to altered metabolism of dopamine and its functional consequences. Individuals with these polymorphisms respond differently to psychostimulants and possibly to pharmacotherapies. Here we review the literature on genetic variations that affect dopamine neurotransmission, responses to psychostimulants and potential treatments for cocaine addiction. Behavioral responses to psychostimulants in animals with different or modified genetics in dopamine signaling are discussed. We also review polymorphisms in humans that affect dopaminergic neurotransmission and alter the subjective effects of psychostimulants. Pharmacotherapies may have increased efficacy when targeted to individuals possessing specific genetic polymophisms in dopamine's metabolic and intracellular messenger systems. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 1% |
| South Africa | 1 | 1% |
| Spain | 1 | 1% |
| United States | 1 | 1% |
| Poland | 1 | 1% |
| Unknown | 81 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 23% |
| Researcher | 12 | 14% |
| Professor > Associate Professor | 12 | 14% |
| Student > Postgraduate | 6 | 7% |
| Student > Master | 5 | 6% |
| Other | 17 | 20% |
| Unknown | 14 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 16 | 19% |
| Agricultural and Biological Sciences | 15 | 17% |
| Medicine and Dentistry | 13 | 15% |
| Neuroscience | 10 | 12% |
| Nursing and Health Professions | 4 | 5% |
| Other | 10 | 12% |
| Unknown | 18 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 November 2023.
All research outputs
#1,779,287
of 24,855,923 outputs
Outputs from Behavior Genetics
#94
of 956 outputs
Outputs of similar age
#3,323
of 80,545 outputs
Outputs of similar age from Behavior Genetics
#2
of 5 outputs
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