ReviewPharmaceutics2025
Bioavailability Enhancement and Formulation Technologies of Oral Mucosal Dosage Forms: A Review.
Review in Pharmaceutics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed.
- Sublingual NMN administration increases early circulating terminal catabolites 2PY and 4PY compared with oral administration in healthy adult men.Scientific reports · 2026Trial
- [Oral mucosal administration].Hua xi kou qiang yi xue za zhi = Huaxi kouqiang yixue zazhi = West China journal of stomatology · 2026Article
- A Novel Oral Film Formulation for Jujuboside: Response Surface Optimization of Preparation Parameters and Performance Evaluation.Foods (Basel, Switzerland) · 2026Article
- From Berry to Bedside: Translational Potential of Berry-Derived Phytochemicals in HNSCC.Molecules (Basel, Switzerland) · 2026Review
- Cannabinoid Therapies in Less-Common Disorders: Clinical Evidence and Formulation Strategies.Diseases (Basel, Switzerland) · 2026Review
- Article
- Fingerroot Extract Oral Spray for Anticariogenic Purpose: Integration of Ultrasound-Assisted Extraction and Solvent System Optimization.Advances in pharmacological and pharmaceutical sciences · 2026Article
- Is the Era of One-Size-Fits-All Alzheimer's Treatment Officially Over?Journal of molecular neuroscience : MN · 2025Review
- Evaluation of Factors Impacting Nicotine Permeation in Oral Nicotine Pouch Products.ACS omega · 2025Article
- Targeting the Oral Mucosa: Emerging Drug Delivery Platforms and the Therapeutic Potential of Glycosaminoglycans.Pharmaceutics · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The oral mucosa is a versatile surface for drug administration, supporting both local and systemic therapies. Many active substances are effectively absorbed in the oral cavity, offering an alternative to enteral administration by bypassing the harsh gastrointestinal environment and hepatic first-pass metabolism. This has made oral mucosal drug delivery a growing area of research. Enhancing the bioavailability of active ingredients is a key focus in pharmaceutical technology, especially given the challenges of developing new drugs. Numerous strategies to improve bioavailability are compatible with oral mucosal delivery, with the unique anatomy of the oral cavity enabling specialized applications. A variety of dosage forms tailored for oral mucosal delivery meet therapeutic needs while addressing biopharmaceutical and patient compliance challenges. Proper formulation can achieve controlled release, improved bioavailability, and patient convenience. This review highlights the potential of oral mucosal drug delivery, focusing on bioavailability enhancement methods and the types and production technologies of dosage forms optimized for use in the oral cavity.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.