Appformin-d
Product Images NDC 68405-019
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 Appformin-d (NDC 68405-019). 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
Apptrim Label (Apptrimlabel)
This is a medical food for managing obesity in adults, containing a proprietary amino acid formulation, choline bitartrate, cocoa extract, griffonia seed extract, grape seed extract, caffeine, and other ingredients. It must be taken under physician supervision and stored in a cool, dry place. It contains no added sugar, starch, wheat, yeast, preservatives, or artificial flavors. Each bottle contains 120 capsules, and the lot number is 007175 with an expiration date of 08/13. This product is distributed exclusively by Physicians Therapeutics, a division of Targeted Medical Pharma, Inc.*
Metformin (Metformin)
This is a description of a medication labeled as 52959-0207-30, with the active ingredient Metformin HCL in the form of a tablet with a dosage of 500mg. The lot number for this medication is MFO5030C, manufactured by CARACO and with an expiration date of 04111. The medication is compared to Glucophage with the matching NDC of 57664-0397-58. The packaging includes a warning to take the medication as directed by the doctor and dosage information can be found on the insert. There is also information about another lot of the same medication with the number 52955 0207-20 with the lot number MFOS0IOC and a matching NDC for Glucophage, 57664-0097-58.*
Metformin Hydrochloride Formula (Metforminhydrochlorideformula)
* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.