Sumatriptan Tablet
Product Images NDC 16714-798
View Photos of Packaging, Regulatory Labels, and Product Appearance
Product Visual Gallery
This gallery contains 6 technical images submitted to the FDA as part of the official labeling for Sumatriptan (NDC 16714-798). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.
As provided by Northstar Rx 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
Figure 2. The Estimated Probability Of Patients Taking A Second Dose Of Sumatriptan Tablets Or Other Medication To Treat Migraine Over The 24 Hours Following The Initial Dose Of Study Treatment In Pooled Trials 1, 2, And 3a (Sumatriptan Fig2)
Package Label-principal Display Panel (25 mg Blister Carton (9 Unit-dose))
Package Label-principal Display Panel (50 mg Blister Carton (9 Unit-dose))
This is a description of Sumatriptan Tablets with a dosage of 50 mg. The tablets should be swallowed whole and stored in a cool place. The medicine is manufactured by Northstar Bx LLC and each package contains 9 unit-dose tablets. The tablets are used for migraines and each contains 70 mg of sumatriptan succinate USP which is equivalent to 50mg of sumatriptan. The NDC number is 16714-797-01.*
Package Label-principal Display Panel (100 mg Blister Carton (9 Unit-dose))
This appears to be a description of Sumatriptan Tablets, USP manufactured by Aurbindo Prarma Limited for NortstarRx. The tablets come in unit-dose packaging and each tablet contains 140 mg sumatriptan succinate USP equivalent to 100 mg of sumariptan. The text also includes dosage instructions and storage details. The location of the manufacturer and distributor are mentioned as Memphis, TN, and Hyderabad, India, respectively.*
Chemical Structure (Sumatriptan Str)
* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.