The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Controlled Drug Delivery: Historical perspective for the next generation
Open accessAbstract
The modern day drug delivery technology is only 60 years old. During this period numerous drug delivery systems have been developed. The first generation (1950–1980) has been very productive in developing many oral and transdermal controlled release formulations for clinical applications. On the other hand, the second generation (1980–2010) has not been as successful in generating clinical products. This is in large part due to the nature of the problems to overcome. The first generation of drug delivery technologies dealt with physicochemical problems, while the second struggled with biological barriers. Controlled drug delivery systems can be made with controllable physicochemical properties, but they cannot overcome the biological barriers. The third generation (from 2010) drug delivery systems need to overcome both physicochemical and biological barriers. The physicochemical problems stem from poor water solubility of drugs, large molecular weight of peptide and protein drugs, and difficulty of controlling drug release kinetics. The biological barriers to overcome include distribution of drug delivery systems by the body rather than by formulation properties, limiting delivery to a specific target in the body. In addition, the body's reaction to formulations limits their functions in vivo. The prosperous future of drug delivery systems depends on whether new delivery systems can overcome limits set by human physiology, and the development process can be accelerated with new ways of thinking.
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Cites
Doxil® — The first FDA-approved nano-drug: Lessons learned
Barenholz, Y. (. (2012) · Journal of Controlled Release · doi:10.1016/j.jconrel.2012.03.020 · Cited by 4,792
Albumin as a drug carrier: Design of prodrugs, drug conjugates and nanoparticles
Kratz, F. (2008) · Journal of Controlled Release · doi:10.1016/j.jconrel.2008.05.010 · Cited by 2,151
Nanoparticles as potential oral delivery systems of proteins and vaccines: A mechanistic approach
des Rieux, A., Fievez, V., Garinot, M., Schneider, Y.-J., & Préat, V. (2006) · Journal of Controlled Release · doi:10.1016/j.jconrel.2006.08.013 · Cited by 1,305
Polymeric micelles and alternative nanonized delivery vehicles for poorly soluble drugs
Lu, Y., & Park, K. (2013) · International Journal of Pharmaceutics · doi:10.1016/j.ijpharm.2012.08.042 · Cited by 572
Self-citation
Cited by
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Adepu, S., & Ramakrishna, S. (2021) · Molecules · doi:10.3390/molecules26195905 · Cited by 1,691
Advances in drug delivery systems, challenges and future directions
Ezike, T. C., Okpala, U. S., Onoja, U. L., Nwike, C. P., Ezeako, E. C., Okpara, O. J., Okoroafor, C. C., Eze, S. C., Kalu, O. L., Odoh, E. C., et al. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e17488 · Cited by 1,040
Advances in Biomaterials for Drug Delivery
Fenton, O. S., Olafson, K. N., Pillai, P. S., Mitchell, M. J., & Langer, R. (2018) · Advanced Materials · doi:10.1002/adma.201705328 · Cited by 855
Injectable, long-acting PLGA formulations: Analyzing PLGA and understanding microparticle formation
Park, K., Skidmore, S., Hadar, J., Garner, J., Park, H., Otte, A., Soh, B. K., Yoon, G., Yu, D., Yun, Y., et al. (2019) · Journal of Controlled Release · doi:10.1016/j.jconrel.2019.05.003 · Cited by 404
Self-citationpH ‐responsive polymers for drug delivery: Trends and opportunities
Singh, J., & Nayak, P. (2023) · Journal of Polymer Science · doi:10.1002/pol.20230403 · Cited by 327
Metadata
- Authors
- Yun, Y. H., Lee, B. K., & Park, K.
- Venue
- Journal of Controlled Release
- Publisher
- Elsevier BV
- Published
- 2015-12
- Volume
- 219
- Pages
- 2-7
- ISSN
- 0168-3659 (ISSN-L)
- OpenAlex
- W1928850161
- Cited by
- 378
- References
- 4
- FWCI
- 6.89
- Type
- journal article
- Language
- en
- Open access
- green
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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.