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Cited by 375

The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.

Targeted Drug Delivery — From Magic Bullet to Nanomedicine: Principles, Challenges, and Future Perspectives

Open access
Tewabe, Ashagrachew, Abate, Atlaw, Tamrie, Manaye, Seyfu, Abyou, Abdela Siraj, Ebrahim·2021·Journal of Multidisciplinary Healthcare

Abstract

Nanomedicine is an advanced version of Paul Ehrlich's "magic bullet" concept. Targeted drug delivery is a system of specifying the drug moiety directly into its targeted body area (organ, cellular, and subcellular level of specific tissue) to overcome the aspecific toxic effect of conventional drug delivery, thereby reducing the amount of drug required for therapeutic efficacy. To achieve this objective, the magic bullet concept was developed and pushed scientists to investigate for more than a century, leading to the envisioning of different nanometer-sized devices - today's nanomedicine. Different carrier systems are being used and investigated, which include colloidal (vesicular and multiparticulate) carriers, polymers, and cellular/subcellular systems. This review addresses the need for and advantages of targeting, with its basic principles, strategies, and carrier systems. Recent advances, challenges, and future perspectives are also highlighted.

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Metadata

Authors
Tewabe, A., Abate, A., Tamrie, M., Seyfu, A., & Abdela Siraj, E.
Venue
Journal of Multidisciplinary Healthcare
Published
2021-07
Volume
Volume 14
Pages
1711-1724
ISSN
1178-2390 (ISSN-L)
OpenAlex
W3180441560
Cited by
375
References
28
FWCI
12.72
Type
journal article
Language
en
Open access
gold

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The paper
Tewabe, A., Abate, A., Tamrie, M., Seyfu, A., & Abdela Siraj, E. (2021). Targeted Drug Delivery — From Magic Bullet to Nanomedicine: Principles, Challenges, and Future Perspectives. Journal of Multidisciplinary Healthcare. https://doi.org/10.2147/jmdh.s313968

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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.