The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Levodopa in the Treatment of Parkinson's Disease: Current Status and New Developments
Open accessAbstract
Levodopa, a dopamine precursor, is an effective and well-tolerated dopamine replacement agent used to treat Parkinson's disease (PD). Oral levodopa has been widely used for over 40 years, often in combination with a dopa-decarboxylase inhibitor (DDCI), which reduces many treatment complications, extending its half-life and increasing levodopa availability to the brain. Entacapone, a catechol-O-methyltransferase inhibitor, can also be used to improve the bioavailability of levodopa, especially when used in conjunction with a DDCI. During early-stage PD, treatment will depend on the severity of symptoms; if greater symptomatic effect is required then levodopa or dopamine agonists are usually the drugs of choice. The ability to remain employable or physically active is an important goal in younger patients, therefore, in some instances levodopa initiation should be considered early on, either as a monotherapy or in combination with other drugs. The clinical use of levodopa may eventually be limited by the development of various treatment-related complications, including response fluctuations, dyskinesia and psychiatric problems. Motor complications are related to the intermittent delivery of dopamine-replacing drugs to the brain. Triple combination of levodopa/carbidopa/entacapone available in a single tablet in multiple levodopa dose strengths offers flexibility and helps control response fluctuations. Recent developments in treatment with levodopa try to obtain continuous delivery with levodopa and include duodenal infusion of a levodopa/carbidopa, transdermal levodopa patch, and oral pro-levodopa. Levodopa remains the most potent dopaminergic therapy for PD.
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
Nonmotor fluctuations in Parkinson’s disease: Frequent and disabling
Witjas, T., Kaphan, E., Azulay, J. P., Blin, O., Ceccaldi, M., Pouget, J., Poncet, M., & Chérif, A. A. (2002) · Neurology · doi:10.1212/wnl.59.3.408 · Cited by 642
Compulsive drug use linked to sensitized ventral striatal dopamine transmission.
Evans, A. H., Pavese, N., Lawrence, A. D., Tai, Y. F., Appel, S., Doder, M., Brooks, D. J., Lees, A. J., & Piccini, P. (2006) · Annals of Neurology · doi:10.1002/ana.20822 · Cited by 473
Dopamine Dysregulation Syndrome: An Overview of its Epidemiology, Mechanisms and Management
OʼSullivan, S. S., Evans, A. H., & Lees, A. J. (2009) · CNS Drugs · doi:10.2165/00023210-200923020-00005 · Cited by 265
Impulse control disorders in Parkinson's disease
Vilas, D., Pont-Sunyer, C., & Tolosa, E. (2012) · Parkinsonism & Related Disorders · doi:10.1016/s1353-8020(11)70026-8 · Cited by 77
Self-citation
Cited by
Levodopa in Parkinson’s Disease: Current Status and Future Developments
Tambasco, N., Romoli, M., & Calabresi, P. (2018) · Current Neuropharmacology · doi:10.2174/1570159x15666170510143821 · Cited by 282
Pahuja, R., Seth, K., Shukla, A., Shukla, R. K., Bhatnagar, P., Chauhan, L. K. S., Saxena, P. N., Arun, J., Chaudhari, B. P., Patel, D. K., et al. (2015) · ACS Nano · doi:10.1021/nn506408v · Cited by 260
A further update on the role of excitotoxicity in the pathogenesis of Parkinson’s disease
Ambrosi, G., Cerri, S., & Blandini, F. (2014) · Journal of Neural Transmission · doi:10.1007/s00702-013-1149-z · Cited by 195
Weis, S., Schwiertz, A., Unger, M. M., Becker, A., Faßbender, K., Ratering, S., Kohl, M., Schnell, S., Schäfer, K.-H., & Egert, M. (2019) · npj Parkinson s Disease · doi:10.1038/s41531-019-0100-x · Cited by 145
Patrick, K. L., Bell, S. L., Weindel, C. G., & Watson, R. O. (2019) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2019.00138 · Cited by 110
Metadata
- Authors
- Salat, D., & Tolosa, E.
- Venue
- Journal of Parkinson’s Disease
- Publisher
- SAGE Publications
- Published
- 2013-01-01
- Volume
- 3
- Issue
- 3
- Pages
- 255-269
- ISSN
- 1877-7171 (ISSN-L)
- 1877-718X
- OpenAlex
- W1556919154
- Cited by
- 232
- References
- 4
- FWCI
- 5.51
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Levodopa in the Treatment of Parkinson's Disease: Current Status and New Developments. https://app.cochat.ai/papers/10.3233/jpd-130186
- The paper
- Salat, D., & Tolosa, E. (2013). Levodopa in the Treatment of Parkinson's Disease: Current Status and New Developments. Journal of Parkinson’s Disease. https://doi.org/10.3233/jpd-130186
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.