Felodipine Tablet, Extended Release
Product Images NDC 69117-0028

Product Visual Gallery

This gallery contains 7 technical images submitted to the FDA as part of the official labeling for Felodipine (NDC 69117-0028). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Yiling Pharmaceutical 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

10mg 100s

Felodipine is a medication manufactured by Yiing Pharmaceutical Lid in China and distributed in the United States by Yiing Pharmaceutca, Inc. It comes in the form of extended-release tablets to be taken orally, with each tablet containing 10mg of the active ingredient. The dosage and further information can be found in the accompanying prescribing information, and the medication should be stored between 20-25°C. It is important to keep the medication out of reach of children and in light-resistant and child-resistant containers. The tablets should be swallowed whole and not crushed or chewed.*

FDA Label Image

10mg 500s

FDA Label Image

2.5mg 100s

FDA Label Image

2.5mg 500s

Manufacturer: Yiing Pharmaceutical Ltd, located in Shijazhuang, Hebei, China, with distributor Yiing Pharmaceutical Inc, based in Las Vegas, USA. The product is NDC 69117-0028 Felodipine, an extended-release tablet used by adults to treat hypertension. Each film-coated tablet contains Felodipine USP 2.5 mg. The usual recommended dosage can be found on the accompanying prescribing information. It should be stored in a tight, light-resistant container between 20-25°C (68-77°F), and protected from light. Tablets should be swallowed whole and kept out of reach of children.*

FDA Label Image

5mg 100s

FDA Label Image

5mg 500s

FDA Label Image

Structure (Structure)

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