The DOI matches its Crossref record; 63 of the 63 references it cites were found in a registry or an index.
Inhaled Therapy in Respiratory Disease: The Complex Interplay of Pulmonary Kinetic Processes
Open accessAbstract
The inhalation route is frequently used to administer drugs for the management of respiratory diseases such as asthma or chronic obstructive pulmonary disease. Compared with other routes of administration, inhalation offers a number of advantages in the treatment of these diseases. For example, via inhalation, a drug is directly delivered to the target organ, conferring high pulmonary drug concentrations and low systemic drug concentrations. Therefore, drug inhalation is typically associated with high pulmonary efficacy and minimal systemic side effects. The lung, as a target, represents an organ with a complex structure and multiple pulmonary-specific pharmacokinetic processes, including (1) drug particle/droplet deposition; (2) pulmonary drug dissolution; (3) mucociliary and macrophage clearance; (4) absorption to lung tissue; (5) pulmonary tissue retention and tissue metabolism; and (6) absorptive drug clearance to the systemic perfusion. In this review, we describe these pharmacokinetic processes and explain how they may be influenced by drug-, formulation- and device-, and patient-related factors. Furthermore, we highlight the complex interplay between these processes and describe, using the examples of inhaled albuterol, fluticasone propionate, budesonide, and olodaterol, how various sequential or parallel pulmonary processes should be considered in order to comprehend the pulmonary fate of inhaled drugs.
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
Vestbo, J., Hurd, S. S., Agustí, A. G., Jones, P. W., Vogelmeier, C., Anzueto, A., Barnes, P. J., Fabbri, L. M., Martinez, F. J., Nishimura, M., et al. (2013) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201204-0596pp · Cited by 15,983
Mucus-penetrating nanoparticles for drug and gene delivery to mucosal tissues
Lai, S. K., Wang, Y.-Y., & Hanes, J. (2009) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2008.11.002 · Cited by 1,815
Physiological Parameter Values for Physiologically Based Pharmacokinetic Models
Brown, R. P., Delp, M. D., Lindstedt, S. L., Rhomberg, L. R., & Beliles, R. P. (1997) · Toxicology and Industrial Health · doi:10.1177/074823379701300401 · Cited by 1,415
Inhaling medicines: delivering drugs to the body through the lungs
Patton, J. S., & Byron, P. R. (2007) · Nature Reviews Drug Discovery · doi:10.1038/nrd2153 · Cited by 1,331
Labiris, N. R., & Dolovich, M. B. (2003) · British Journal of Clinical Pharmacology · doi:10.1046/j.1365-2125.2003.01892.x · Cited by 1,245
Mucociliary clearance in the airways.
Wanner, A., Salathé, M., & O'Riordan, T. G. (1996) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/ajrccm.154.6.8970383 · Cited by 731
Rate-Limited Steps of Human Oral Absorption and QSAR Studies
Zhao, Y. H., Abraham, M. H., Le, J., Hersey, A., Luscombe, C. N., Beck, G., Sherborne, B., & Cooper, I. (2002) · Pharmaceutical Research · doi:10.1023/a:1020444330011 · Cited by 717
Models of human lung airways and their application to inhaled particle deposition
Yeh, H.-C., & Schum, G. M. (1980) · Bulletin of Mathematical Biology · doi:10.1007/bf02460796 · Cited by 717
Mechanisms of macromolecule absorption by the lungs
Patton, J. S. (1996) · Advanced Drug Delivery Reviews · doi:10.1016/0169-409x(95)00113-l · Cited by 641
Basic Concepts in Physiologically Based Pharmacokinetic Modeling in Drug Discovery and Development
Jones, H., & Rowland‐Yeo, K. (2013) · CPT: Pharmacometrics & Systems Pharmacology · doi:10.1038/psp.2013.41 · Cited by 626
Metadata
- Authors
- Borghardt, J. M., Kloft, C., & Sharma, A.
- Venue
- Canadian Respiratory Journal
- Publisher
- Wiley
- Published
- 2018-06-19
- Volume
- 2018
- Pages
- 1-11
- ISSN
- 1198-2241 (ISSN-L)
- 1916-7245
- OpenAlex
- W2809422875
- Cited by
- 304
- References
- 63
- FWCI
- 19.28
- Type
- journal article
- Language
- en
- Open access
- gold
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: Inhaled Therapy in Respiratory Disease: The Complex Interplay of Pulmonary Kinetic Processes. https://app.cochat.ai/papers/10.1155/2018/2732017
- The paper
- Borghardt, J. M., Kloft, C., & Sharma, A. (2018). Inhaled Therapy in Respiratory Disease: The Complex Interplay of Pulmonary Kinetic Processes. Canadian Respiratory Journal. https://doi.org/10.1155/2018/2732017
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.