Respiratory Relief Tablet
Product Images NDC 53499-5295

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for Respiratory Relief (NDC 53499-5295). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Schwabe North America, Inc, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

FDA Label Image

Lh15295_01_respiratoryrelief_lbl_30ct_fnl.jpg (Lh15295 01 Respiratoryrelief Lbl 30ct Fnl)

Lh15295_01_respiratoryrelief_lbl_30ct_fnl.jpg (Lh15295 01 Respiratoryrelief Lbl 30ct Fnl)
This text appears to be labeling and important information related to a Guaifenesin Expectorant tablet for respiratory relief. It provides directions for use, dosage information for adults and children, inactive ingredients, contact information for the manufacturer, and warnings about usage. Make sure to consult a healthcare professional before using the product in certain conditions and keep it out of reach of children.*
FDA Label Image

Lhbn15295_01_respiratoryrelief_ctn_30ct_fnl.jpg (Lhbn15295 01 Respiratoryrelief Ctn 30ct Fnl)

Lhbn15295_01_respiratoryrelief_ctn_30ct_fnl.jpg (Lhbn15295 01 Respiratoryrelief Ctn 30ct Fnl)
Nature's Way Respiratory Relief Guaifenesin Expectorant tablets help relieve chest congestion by thinning and loosening mucus. Each tablet contains 400mg of Guaifenesin and is suitable for adults and children over 12 years old. This product is designed to help clear bronchial passages and make coughs more productive. The drug facts section includes important information on dosage, warnings, and directions for use. It is manufactured and tested in the USA. For more products, visit NATURESWAY.COM.*

* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.