| Title |
Cannabis Addiction and the Brain: a Review
|
|---|---|
| Published in |
Journal of Neuroimmune Pharmacology, March 2018
|
| DOI | 10.1007/s11481-018-9782-9 |
| Pubmed ID | |
| Authors |
Amna Zehra, Jamie Burns, Christopher Kure Liu, Peter Manza, Corinde E. Wiers, Nora D. Volkow, Gene-Jack Wang |
| Abstract |
Cannabis is the most commonly used substance of abuse in the United States after alcohol and tobacco. With a recent increase in the rates of cannabis use disorder (CUD) and a decrease in the perceived risk of cannabis use, it is imperative to assess the addictive potential of cannabis. Here we evaluate cannabis use through the neurobiological model of addiction proposed by Koob and Volkow. The model proposes that repeated substance abuse drives neurobiological changes in the brain that can be separated into three distinct stages, each of which perpetuates the cycle of addiction. Here we review previous research on the acute and long-term effects of cannabis use on the brain and behavior, and find that the three-stage framework of addiction applies to CUD in a manner similar to other drugs of abuse, albeit with some slight differences. These findings highlight the urgent need to conduct research that elucidates specific neurobiological changes associated with CUD in humans. |
X Demographics
The data shown below were collected from the profiles of 194 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 37 | 19% |
| United States | 19 | 10% |
| France | 3 | 2% |
| Canada | 3 | 2% |
| Belgium | 2 | 1% |
| Thailand | 2 | 1% |
| Argentina | 2 | 1% |
| Australia | 2 | 1% |
| Germany | 2 | 1% |
| Other | 22 | 11% |
| Unknown | 100 | 52% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 180 | 93% |
| Scientists | 6 | 3% |
| Practitioners (doctors, other healthcare professionals) | 5 | 3% |
| Science communicators (journalists, bloggers, editors) | 3 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 537 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 537 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 91 | 17% |
| Student > Master | 49 | 9% |
| Student > Ph. D. Student | 48 | 9% |
| Researcher | 45 | 8% |
| Student > Doctoral Student | 32 | 6% |
| Other | 87 | 16% |
| Unknown | 185 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 74 | 14% |
| Neuroscience | 71 | 13% |
| Psychology | 68 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 29 | 5% |
| Biochemistry, Genetics and Molecular Biology | 26 | 5% |
| Other | 67 | 12% |
| Unknown | 202 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 410. 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 30 March 2024.
All research outputs
#73,137
of 25,750,437 outputs
Outputs from Journal of Neuroimmune Pharmacology
#2
of 602 outputs
Outputs of similar age
#1,773
of 349,743 outputs
Outputs of similar age from Journal of Neuroimmune Pharmacology
#1
of 8 outputs
Altmetric has tracked 25,750,437 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 602 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one has done particularly well, scoring higher than 99% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 349,743 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them