Product Images Sumatriptan

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Product Label Images

The following 4 images provide visual information about the product associated with Sumatriptan NDC 63187-969 by Proficient Rx Lp, such as packaging, labeling, and the appearance of the drug itself. This resource could be helpful for medical professionals, pharmacists, and patients seeking to verify medication information and ensure they have the correct product.

Figure 1. Estimated Probability of Achieving Initial Headache Response Within 4 Hours of Treatment in Pooled Trials 1, 2, and 3a - sumatriptan fig1

Figure 1. Estimated Probability of Achieving Initial Headache Response Within 4 Hours of Treatment in Pooled Trials 1, 2, and 3a - sumatriptan fig1

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

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

63187-969-09 - sumatriptan fig3

63187-969-09 - sumatriptan fig3

This is a medication bottle containing sumatriptan, a prescription medication commonly used to treat migraines. Each tablet contains 25mg of sumatriptan succinate. The bottle contains 9 tablets with a product ID of RS096909. The tablets are white or off-white, round, and uncoated with a "C" on one side and "32" on the other. The medication was manufactured by Aurobindo Pharma Limited in India and relabeled by Proficient Rx LP in Thousand Oaks, California. The bottle should be stored at 20°-25°C (68°-77°F) and kept out of the reach of children. The bottle's lot number is 0000, and it has an expiration date of 00/00/00. GTIN: 0363187969097.*

Chemical Structure - sumatriptan str

Chemical Structure - sumatriptan str

* The product label images have been analyzed using a combination of traditional computing and machine learning techniques. It should be noted that the descriptions provided may not be entirely accurate as they are experimental in nature. Use the information in this page at your own discretion and risk.