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Cited by 284

The DOI matches its Crossref record; 97 of the 97 references it cites were found in a registry or an index.

Strategies to Enhance Drug Absorption via Nasal and Pulmonary Routes

Open access
Ghadiri, Maliheh, Young, Paul M., Traini, Daniela·2019·Pharmaceutics

Abstract

New therapeutic agents such as proteins, peptides, and nucleic acid-based agents are being developed every year, making it vital to find a non-invasive route such as nasal or pulmonary for their administration. However, a major concern for some of these newly developed therapeutic agents is their poor absorption. Therefore, absorption enhancers have been investigated to address this major administration problem. This paper describes the basic concepts of transmucosal administration of drugs, and in particular the use of the pulmonary or nasal routes for administration of drugs with poor absorption. Strategies for the exploitation of absorption enhancers for the improvement of pulmonary or nasal administration are discussed, including use of surfactants, cyclodextrins, protease inhibitors, and tight junction modulators, as well as application of carriers such as liposomes and nanoparticles.

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Crossref · 10.3390/pharmaceutics11030113

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Metadata

Authors
Ghadiri, M., Young, P. M., & Traini, D.
Venue
Pharmaceutics
Publisher
MDPI AG
Published
2019-03-11
Volume
11
Issue
3
Pages
113
ISSN
1999-4923 (ISSN-L)
OpenAlex
W2921248422
Cited by
284
References
97
FWCI
10.99
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Strategies to Enhance Drug Absorption via Nasal and Pulmonary Routes. https://app.cochat.ai/papers/10.3390/pharmaceutics11030113
The paper
Ghadiri, M., Young, P. M., & Traini, D. (2019). Strategies to Enhance Drug Absorption via Nasal and Pulmonary Routes. Pharmaceutics. https://doi.org/10.3390/pharmaceutics11030113

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.