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Cited by 306

The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.

Inhalation drug delivery devices: technology update

Open access
Garcia-Contreras, Lucila, Ibrahim, Mariam, Verma, Rahul·2015·Medical Devices: Evidence and Research

Abstract

The pulmonary route of administration has proven to be effective in local and systemic delivery of miscellaneous drugs and biopharmaceuticals to treat pulmonary and non-pulmonary diseases. A successful pulmonary administration requires a harmonic interaction between the drug formulation, the inhaler device, and the patient. However, the biggest single problem that accounts for the lack of desired effect or adverse outcomes is the incorrect use of the device due to lack of training in how to use the device or how to coordinate actuation and aerosol inhalation. This review summarizes the structural and mechanical features of aerosol delivery devices with respect to mechanisms of aerosol generation, their use with different formulations, and their advantages and limitations. A technological update of the current state-of-the-art designs proposed to overcome current challenges of existing devices is also provided.

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Crossref · 10.2147/mder.s48888

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Metadata

Authors
Garcia-Contreras, L., Ibrahim, M., & Verma, R.
Venue
Medical Devices: Evidence and Research
Published
2015-02
Volume
8
Pages
131
ISSN
1179-1470 (ISSN-L)
OpenAlex
W2018698029
Cited by
306
References
37
FWCI
14.75
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Inhalation drug delivery devices: technology update. https://app.cochat.ai/papers/10.2147/mder.s48888
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Garcia-Contreras, L., Ibrahim, M., & Verma, R. (2015). Inhalation drug delivery devices: technology update. Medical Devices: Evidence and Research. https://doi.org/10.2147/mder.s48888

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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.