The DOI matches its Crossref record; 219 of the 219 references it cites were found in a registry or an index.
Zero-order drug delivery: State of the art and future prospects
Abstract
Pharmaceutical drugs are an important part of the global healthcare system, with some estimates suggesting over 50% of the world's population takes at least one medication per day. Most drugs are delivered as immediate-release formulations that lead to a rapid increase in systemic drug concentration. Although these formulations have historically played an important role, they can be limited by poor patient compliance, adverse side effects, low bioavailability, or undesirable pharmacokinetics. Drug delivery systems featuring first-order release kinetics have been able to improve pharmacokinetics but are not ideal for drugs with short biological half-lives or small therapeutic windows. Zero-order drug delivery systems have the potential to overcome the issues facing immediate-release and first-order systems by releasing drug at a constant rate, thereby maintaining drug concentrations within the therapeutic window for an extended period of time. This release profile can be used to limit adverse side effects, reduce dosing frequency, and potentially improve patient compliance. This review covers strategies being employed to attain zero-order release or alter traditionally first-order release kinetics to achieve more consistent release before discussing opportunities for improving device performance based on emerging materials and fabrication methods.
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
Osterberg, L., & Blaschke, T. (2005) · New England Journal of Medicine · doi:10.1056/nejmra050100 · Cited by 7,974
Goodman & Gilman's The Pharmacological Basis of Therapeutics
Brunton, L. L. (1985) · Cited by 7,321
Goodman and Gilman's the Pharmacological Basis of Therapeutics
Stigelman, W. H., & Pharm, D. (1986) · Military Medicine · doi:10.1093/milmed/151.1.386 · Cited by 6,782
Designing hydrogels for controlled drug delivery
Li, J., & Mooney, D. J. (2016) · Nature Reviews Materials · doi:10.1038/natrevmats.2016.71 · Cited by 4,832
Poly Lactic-co-Glycolic Acid (PLGA) as Biodegradable Controlled Drug Delivery Carrier
Makadia, H. K., & Siegel, S. J. (2011) · Polymers · doi:10.3390/polym3031377 · Cited by 4,816 · cited 1×
“Increasing particle size [60–62], lactic acid copolymer content [63–67], and molecular weight [65,68–71] have generally been shown to slow the rate of drug release, though not necessarily alter the profile from first-order kinetics.”
BackgroundRitger, P. L., & Peppas, N. A. (1987) · Journal of Controlled Release · doi:10.1016/0168-3659(87)90034-4 · Cited by 3,830
Hydrogels in drug delivery: Progress and challenges
Hoare, T. R., & Kohane, D. S. (2008) · Polymer · doi:10.1016/j.polymer.2008.01.027 · Cited by 3,776
Polymeric systems for controlled drug release
Uhrich, K. E., Cannizzaro, S. M., Langer, R. S., & Shakesheff, K. M. (1999) · Chemical Reviews · doi:10.1021/cr940351u · Cited by 2,633
Drug Solubility: Importance and Enhancement Techniques
Savjani, K. T., Gajjar, A. K., & Savjani, J. K. (2012) · ISRN Pharmaceutics · doi:10.5402/2012/195727 · Cited by 2,004
Statins for the primary prevention of cardiovascular disease
Taylor, F., Huffman, M. D., Macedo, A. F., Moore, T. H., Burke, M., Davey Smith, G., Ward, K., Ebrahim, S., & Gay, H. C. (2013) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd004816.pub5 · Cited by 1,934
Cited by
Drug release study of the chitosan-based nanoparticles
Herdiana, Y., Wathoni, N., Shamsuddin, S., & Muchtaridi, M. (2022) · Heliyon · doi:10.1016/j.heliyon.2021.e08674 · Cited by 576
Recent Applications of PLGA in Drug Delivery Systems
Yang, J., Zeng, H., Luo, Y., Chen, Y., Wang, M., Wu, C., & Hu, P. (2024) · Polymers · doi:10.3390/polym16182606 · Cited by 268
Metadata
- Authors
- Laracuente, M.-L., Yu, M. H., & McHugh, K. J.
- Venue
- Journal of Controlled Release
- Publisher
- Elsevier BV
- Published
- 2020-11
- Volume
- 327
- Pages
- 834-856
- ISSN
- 0168-3659 (ISSN-L)
- OpenAlex
- W3086057753
- Cited by
- 384
- References
- 219
- FWCI
- 9.60
- Type
- journal article
- Language
- en
- Open access
- closed
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: Zero-order drug delivery: State of the art and future prospects. https://app.cochat.ai/papers/10.1016/j.jconrel.2020.09.020
- The paper
- Laracuente, M.-L., Yu, M. H., & McHugh, K. J. (2020). Zero-order drug delivery: State of the art and future prospects. Journal of Controlled Release. https://doi.org/10.1016/j.jconrel.2020.09.020
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.