The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
How Addictive Drugs Disrupt Presynaptic Dopamine Neurotransmission
Open accessAbstract
The fundamental principle that unites addictive drugs appears to be that each enhances synaptic dopamine by means that dissociate it from normal behavioral control, so that they act to reinforce their own acquisition. This occurs via the modulation of synaptic mechanisms involved in learning, including enhanced excitation or disinhibition of dopamine neuron activity, blockade of dopamine reuptake, and altering the state of the presynaptic terminal to enhance evoked over basal transmission. Amphetamines offer an exception to such modulation in that they combine multiple effects to produce non-exocytic stimulation-independent release of neurotransmitter via reverse transport independent from normal presynaptic function. Questions on the molecular actions of addictive drugs, prominently including the actions of alcohol and solvents, remain unresolved, but their ability to co-opt normal presynaptic functions helps to explain why treatment for addiction has been challenging.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Actual Causes of Death in the United States, 2000
Mokdad, A. H. (2004) · JAMA · doi:10.1001/jama.291.10.1238 · Cited by 5,211
Di Chiara, G., & Imperato, A. (1988) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.85.14.5274 · Cited by 4,733
Olds, J., & Milner, P. (1954) · Journal of Comparative and Physiological Psychology · doi:10.1037/h0058775 · Cited by 3,176
Frezza, M., di Padova, C., Pozzato, G., Terpin, M., Baraona, E., & Lieber, C. S. (1990) · New England Journal of Medicine · doi:10.1056/nejm199001113220205 · Cited by 1,328
Picciotto, M. R., Zoli, M., Rimondini, R., Léna, C., Marubio, L. M., Pich, E. M., Fuxe, K., & Changeux, J.-P. (1998) · Nature · doi:10.1038/34413 · Cited by 1,320
Nicotinic Acetylcholine Receptors and Nicotinic Cholinergic Mechanisms of the Central Nervous System
Dani, J. A., & Bertrand, D. (2007) · Annual Review of Pharmacology and Toxicology · doi:10.1146/annurev.pharmtox.47.120505.105214 · Cited by 1,197
Drug-evoked synaptic plasticity in addiction: from molecular changes to circuit remodeling
Lüscher, C., & Malenka, R. C. (2011) · Neuron · doi:10.1016/j.neuron.2011.01.017 · Cited by 1,105
Cortico-Basal Ganglia Reward Network: Microcircuitry
Sesack, S. R., & Grace, A. A. (2010) · Neuropsychopharmacology · doi:10.1038/npp.2009.93 · Cited by 985
Wightman, R. M., Jankowski, J. A., Kennedy, R. T., Kawagoe, K. T., Schroeder, T. J., Leszczyszyn, D. J., Near, J. A., Diliberto, E. J., & Viveros, O. H. (1991) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.88.23.10754 · Cited by 893
Preferential activation of midbrain dopamine neurons by appetitive rather than aversive stimuli
Mirenowicz, J., & Schultz, W. (1996) · Nature · doi:10.1038/379449a0 · Cited by 829
Cited by
Kempadoo, K. A., Mosharov, E. V., Choi, S. J., Sulzer, D., & Kandel, E. R. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1616515114 · Cited by 647
Self-citationDopaminergic neurons inhibit striatal output through non-canonical release of GABA
Tritsch, N. X., Ding, J. B., & Sabatini, B. L. (2012) · Nature · doi:10.1038/nature11466 · Cited by 576
Mechanisms of dopamine transporter regulation in normal and disease states
Vaughan, R. A., & Foster, J. D. (2013) · Trends in Pharmacological Sciences · doi:10.1016/j.tips.2013.07.005 · Cited by 419
Striatal dopamine neurotransmission: Regulation of release and uptake
Sulzer, D., Cragg, S. J., & Rice, M. E. (2016) · Basal Ganglia · doi:10.1016/j.baga.2016.02.001 · Cited by 382
Self-citationBello, E. P., Mateo, Y., Gelman, D. M., Noaín, D., Shin, J. H., Low, M. J., Alvarez, V. A., Lovinger, D. M., & Rubinstein, M. (2011) · Nature Neuroscience · doi:10.1038/nn.2862 · Cited by 364
Metadata
- Authors
- Sulzer, D.
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2011-02
- Volume
- 69
- Issue
- 4
- Pages
- 628-649
- ISSN
- 0896-6273 (ISSN-L)
- OpenAlex
- W2030852918
- Cited by
- 581
- References
- 31
- FWCI
- 20.73
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: How Addictive Drugs Disrupt Presynaptic Dopamine Neurotransmission. https://app.cochat.ai/papers/10.1016/j.neuron.2011.02.010
- The paper
- Sulzer, D. (2011). How Addictive Drugs Disrupt Presynaptic Dopamine Neurotransmission. Neuron. https://doi.org/10.1016/j.neuron.2011.02.010
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.