Sentroxatine
Product Images NDC 68405-043
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Product Visual Gallery
This gallery contains 4 technical images submitted to the FDA as part of the official labeling for Sentroxatine (NDC 68405-043). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.
As provided by Physician Therapeutics 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.
Product Images & Figures Index
Fluoxetinelabel (Fluoxetinelabel)
This is a description of Fluoxetine 10mg Capsules, with the lot number FLT1OVV and NDC number 50111-0647-03. The medication is intended to be taken as directed by a doctor or according to the usual dosage information provided in the accompanying outsert. The medication is manufactured by PLIVA and is comparable to Prozac.*
Sentra Pm (Sentrapm)
SENTRA PM is a medical food for the dietary management of sleep disorders, which should be consumed only by adults and under medical supervision. Each serving includes a proprietary amino acid blend, cocoa extract, and a proprietary herbal blend. There are no added sugars, starch, wheat, yeast, preservatives, artificial color or flavor. The product must be stored tightly closed in a cool dry place with a relative humidity below 50%. It contains dextrose, choline bitartrate, glutamic acid, acetyl-l-carnitine HCl, Ginkgo Biloba, Griffonia Seed Extract, and Hawthorn Berry. This product is distributed by Physician Therapeutics LLC, Los Angeles.*
Sentroxatine (Sentroxatine)
The text describes a medical food and drug called Sentroxatine, which is available in a package along with 60 capsules of Sentra PM and 30 capsules of Fluoxetine 10 mg. It also mentions that this package is only available with a prescription and that no refills are allowed without the proper NDC number (68405-043-26) and physician authorization.*
* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.