Product Images Silodosin

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 8 images provide visual information about the product associated with Silodosin NDC 60219-1421 by Amneal Pharmaceuticals Ny Llc, such as packaging, labeling, and the appearance of the drug itself. This resource could be helpful for medical professionals, pharmacists, and patients seeking to verify medication information and ensure they have the correct product.

structure - silodosin capsules 1

structure - silodosin capsules 1

as - silodosin capsules 2

as - silodosin capsules 2

fg - silodosin capsules 3

fg - silodosin capsules 3

jh - silodosin capsules 4

jh - silodosin capsules 4

ad - silodosin capsules 5

ad - silodosin capsules 5

uy - silodosin capsules 6

uy - silodosin capsules 6

4 mg 30 count Label - silodosin capsules 7

4 mg 30 count Label - silodosin capsules 7

This is a prescription drug with NDC number 60219-1421-3. The drug is called Silodosin Capsules and comes in a bottle of 30 capsules. Each capsule contains 4mg of Silodosin. The usual dose is one capsule per day with a meal. Learn more about the drug from the package insert. Store the drug at a temperature between 20 to 25°C (68 to 77°F) with excursions permitted between 15 to 30°C (59 to 86°F). Protect the drug from light and moisture and keep it away from children. The drug is distributed by Amneal Pharmaceuticals LLC located in Bridgewater, NJ 08807. The revision date of the drug is 04-2022-00.*

8 mg 30 count Label - silodosin capsules 8

8 mg 30 count Label - silodosin capsules 8

This is a medication description for Silodosin Capsules with a strength of 8 mg. The usual dosage is one capsule taken once daily with a meal. The package insert or prescribing information should be consulted before taking the medication. The capsules should be stored at room temperature, protected from light and moisture, and kept out of reach of children. This medication is distributed by Amneal Pharmaceuticals LLC.*

* The product label images have been analyzed using a combination of traditional computing and machine learning techniques. It should be noted that the descriptions provided may not be entirely accurate as they are experimental in nature. Use the information in this page at your own discretion and risk.