Structural Formula (Pra02 0000 01)
Prastera
Product Images NDC 55607-400
View Photos of Packaging, Regulatory Labels, and Product Appearance
Product Visual Gallery
This gallery contains 7 technical images submitted to the FDA as part of the official labeling for Prastera (NDC 55607-400). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.
As provided by Health Science Funding, Llc, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.
Figure (Pra02 0000 02)
Figure (Pra02 0000 03)
Structural Formula (Pra02 0000 04)
Principal Display Panel (Capsule Label)
Prasterone 200mg is a medication available in softgel form. Each package contains 15 softgels and the recommended dosage is one softgel daily. The medication contains soy and has several other ingredients, including gelatin and titanium dioxide. Prasterone 200mg should only be taken orally and kept away from children. It must be used under the supervision of a physician and the accompanying package insert should be carefully read for complete information and warnings. The medication is available as part of the Prastera® kit and is not labeled for individual sale. Prasterone 200mg is manufactured by Health Science Funding LLC in Morristown, NJ. More information can be found on the website www.prastera.com.*
Principal Display Panel (Blister Label)
NDC 55607-400-10 is a prescription drug containing 400 mg of Ibuprofen per tablet. It should be stored at a controlled room temperature of 20 to 25°C (68 to 77°F) and dispensed in a tight container. The package insert provides complete product information. The drug is manufactured for Health Science Funding LLC located in Morristown NJ and produced by Marksans Pharma Ltd. located in Verna, Goa, India.*
Principal Display Panel (Kit Label)
* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.
