The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Neuroscience of Addiction: Relevance to Prevention and Treatment
Abstract
Addiction, the most severe form of substance use disorder, is a chronic brain disorder molded by strong biosocial factors that has devastating consequences to individuals and to society. Our understanding of substance use disorder has advanced significantly over the last 3 decades in part due to major progress in genetics and neuroscience research and to the development of new technologies, including tools to interrogate molecular changes in specific neuronal populations in animal models of substance use disorder, as well as brain imaging devices to assess brain function and neurochemistry in humans. These advances have illuminated the neurobiological processes through which biological and sociocultural factors contribute to resilience against or vulnerability for drug use and addiction. The delineation of the neurocircuitry disrupted in addiction, which includes circuits that mediate reward and motivation, executive control, and emotional processing, has given us an understanding of the aberrant behaviors displayed by addicted individuals and has provided new targets for treatment. Most prominent are the disruptions of an individual's ability to prioritize behaviors that result in long-term benefit over those that provide short-term rewards and the increasing difficulty exerting control over these behaviors even when associated with catastrophic consequences. These advances in our understanding of brain development and of the role of genes and environment on brain structure and function have built a foundation on which to develop more effective tools to prevent and treat substance use disorder.
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Cites
Interventions shown to aid executive function development in children 4 to 12 years old
Diamond, A., & Lee, K. (2011) · Science · doi:10.1126/science.1204529 · Cited by 2,901
Neurobiologic advances from the brain disease model of addiction
Volkow, N. D., Koob, G. F., & McLellan, A. T. (2016) · New England Journal of Medicine · doi:10.1056/nejmra1511480 · Cited by 2,008
Self-citationOxytocin and vasopressin in the human brain: social neuropeptides for translational medicine
Meyer-Lindenberg, A., Domes, G., Kirsch, P., & Heinrichs, M. (2011) · Nature Reviews Neuroscience · doi:10.1038/nrn3044 · Cited by 1,688
Synaptic plasticity and addiction
Kauer, J. A., & Malenka, R. C. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2234 · Cited by 1,397
The brain on drugs: from reward to addiction
Volkow, N. D., & Morales, M. (2015) · Cell · doi:10.1016/j.cell.2015.07.046 · Cited by 1,306
Self-citation2010 National and State Costs of Excessive Alcohol Consumption
Sacks, J. J., Gonzales, K. R., Bouchery, E. E., Tomedi, L. E., & Brewer, R. D. (2015) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2015.05.031 · Cited by 1,180
Cocaine cues and dopamine in dorsal striatum: mechanism of craving in cocaine addiction
Volkow, N. D., Wang, G.-J., Telang, F., Fowler, J. S., Logan, J., Childress, A.-R., Jayne, M., Ma, Y., & Wong, C. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.1544-06.2006 · Cited by 1,164
Self-citationNucleus accumbens shell and core dopamine: differential role in behavior and addiction
Di Chiara, G. (2002) · Behavioural Brain Research · doi:10.1016/s0166-4328(02)00286-3 · Cited by 996
Plasticity of reward neurocircuitry and the ‘dark side’ of drug addiction
Koob, G. F., & Le Moal, M. (2005) · Nature Neuroscience · doi:10.1038/nn1105-1442 · Cited by 963
Social dominance in monkeys: dopamine D2 receptors and cocaine self-administration
Morgan, D., Grant, K. A., Gage, H. D., Mach, R. H., Kaplan, J. R., Prioleau, O., Nader, S. H., Buchheimer, N., Ehrenkaufer, R. L., & Nader, M. A. (2002) · Nature Neuroscience · doi:10.1038/nn798 · Cited by 674
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One Is Not Enough: Understanding and Modeling Polysubstance Use
Crummy, E. A., O’Neal, T. J., Baskin, B. M., & Ferguson, S. M. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00569 · Cited by 351
Haight, B. R., Learned, S. M., Laffont, C. M., Fudala, P. J., Zhao, Y., Garofalo, A. S., Greenwald, M. K., Nadipelli, V. R., Ling, W., Heidbreder, C., et al. (2019) · The Lancet · doi:10.1016/s0140-6736(18)32259-1 · Cited by 285
Bentzley, B. S., Han, S. S., Neuner, S., Humphreys, K., Kampman, K. M., & Halpern, C. H. (2021) · JAMA Network Open · doi:10.1001/jamanetworkopen.2021.8049 · Cited by 161
Therapeutic effect of psilocybin in addiction: A systematic review
van der Meer, P. B., Fuentes, J. J., Kaptein, A. A., Schoones, J. W., de Waal, M. M., Goudriaan, A. E., Kramers, K., Schellekens, A., Somers, M., Bossong, M. G., et al. (2023) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2023.1134454 · Cited by 127
Belfiore, C. I., Galofaro, V., Cotroneo, D., Lopis, A., Tringali, I., Denaro, V., & Casu, M. (2024) · Psychoactives · doi:10.3390/psychoactives3020013 · Cited by 67
A Biopsychosocial Overview of the Opioid Crisis: Considering Nutrition and Gastrointestinal Health
Wiss, D. A. (2019) · Frontiers in Public Health · doi:10.3389/fpubh.2019.00193 · Cited by 41
Quinn, P. D., Fine, K. L., Rickert, M. E., Sujan, A. C., Boersma, K., Chang, Z., Franck, J., Lichtenstein, P., Larsson, H., & D’Onofrio, B. M. (2020) · JAMA Pediatrics · doi:10.1001/jamapediatrics.2020.2539 · Cited by 38
DNA Epigenetics in Addiction Susceptibility
Kaplan, G., Xu, H., Abreu, K., & Feng, J. (2022) · Frontiers in Genetics · doi:10.3389/fgene.2022.806685 · Cited by 34
Research, A. I. F., Latimore, A., Salisbury- Afshar, E., University of Wisconsin–Madison, Duff, N., National Academy of Medicine, Freiling, E., National Academy of Medicine, Kellett, B., Research, A. I. F., et al. (2023) · NAM Perspectives · doi:10.31478/202309b · Cited by 22
De Aquino, J. P., Sofuoglu, M., Stefanovics, E. A., & Rosenheck, R. A. (2020) · The American Journal of Drug and Alcohol Abuse · doi:10.1080/00952990.2020.1818248 · Cited by 6
Metadata
- Authors
- Volkow, N. D., & Boyle, M.
- Venue
- American Journal of Psychiatry
- Published
- 2018-08-01
- Volume
- 175
- Issue
- 8
- Pages
- 729-740
- ISSN
- 0002-953X (ISSN-L)
- 1535-7228
- OpenAlex
- W2799689297
- Cited by
- 322
- References
- 32
- FWCI
- 9.79
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
