Prednisone
Product Images NDC 66336-428
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Product Visual Gallery
This gallery contains 3 technical images submitted to the FDA as part of the official labeling for Prednisone (NDC 66336-428). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.
As provided by Dispensing Solutions, 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.
Product Images & Figures Index
Ndc 66336-0058-xx (Ndc 66336 0058 Xx Roxane)
This text is a product description of Prednisone, a medication produced by Roxane Laboratories. The tablets come in a white round shape that can be scored and identified by the imprint 54 899. The recommended way of taking this medication is orally, with food, every __ hours ___times a day or as directed by a physician. The medication comes in a tight/light-resistant container and should be stored at 77°F. The packaging includes a warning about keeping the product out of children's reach. There are three lots of the product 516- XX with NDC 66336-0058-XX, and each one contains 10mg of Prednisone, with an unknown number of tablets. Finally, it is packaged exclusively by Dispensing Solutions in Santa Ana, CA.*
Ndc 66336-0428-xx (Ndc 66336 0428 Xx Roxane)
This is a description of a Prednisone medication. The tablets are white, round and scored, identified as 54 092, and contain 1mg of the active ingredient, Prednisone USP. The product is manufactured by Roxane Laboratories in Columbus, Ohio, and the bulk source NDC is 00054-4741-31. The drug should be taken orally with food, as directed by a physician, every few hours a day. It needs to be dispensed in a container that is tight/light resistant, stored at 77°F, and kept out of children's reach. Lot numbers, sample expiration dates, and Rx numbers are also listed on the package.*
* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.