Carbidopa Chemical Structure (Carbidopa Levodopa Er Tabs 8460 8461 1)
Carbidopa And Levodopa Tablet, Extended Release
Product Images NDC 0615-8461
View Photos of Packaging, Regulatory Labels, and Product Appearance
Product Visual Gallery
This gallery contains 4 technical images submitted to the FDA as part of the official labeling for Carbidopa And Levodopa (NDC 0615-8461). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.
As provided by Ncs Healthcare Of Ky, Llc Dba Vangard Labs, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.
Levodopa Chemical Structure (Carbidopa Levodopa Er Tabs 8460 8461 2)
Principal Display Panel (Carbidopa Levodopa Er Tabs 8460 8461 3)
This is a label of a medicine package of Carbidopa and Levodopa ER Tabs USP 25 mg/100 mg manufactured by ScieGen. The package contains 30 tablets. The medicine should be dispensed in a light-resistant container and stored in a controlled room temperature ranging from 20°C to 25°C. The tablets should be swallowed without crushing or chewing. The label provides information about the manufacturer, package and lot number, and dosage. It is for institutional use only. No information is available about the condition it is intended to treat.*
Principal Display Panel (Carbidopa Levodopa Er Tabs 8460 8461 4)
Carbidopa and Levodopa ER Tabs USP 50 mg/200 mg are tablets to treat the symptoms of Parkinson's disease. Each tablet contains 50 mg carbidopa, USP (anhydrous equivalent), and 200 mg levodopa, USP. The tablets should be swallowed without chewing or crushing and dispensed in a light-resistant container. See package insert or label for dosage information. This information is for institutional use only. Store at 20°C to 25°C (68°F to 77°F) in a controlled room temperature.*
* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.
