Product Images Sumatriptan Succinate
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 4 images provide visual information about the product associated with Sumatriptan Succinate NDC 66116-413 by Medvantx, Inc., 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.
Structural formula for sumatriptan succinate - 2fbc01fb b787 4ff1 bb9f 280dfe975531 01
Figure 1: Estimated Probability of Achieving Initial Headache Response Within 240 Minutes* - 2fbc01fb b787 4ff1 bb9f 280dfe975531 02
The text appears to be a chart displaying estimated probability of response for different dosages in minutes from initial dose. The chart includes percentages ranging from 100% to 0% and dosages including a placebo and different milligrams. Time in minutes is also featured in the chart.*
Figure 2: The Estimated Probability of Patients Taking a Second Dose or Other Medication for Migraine Over the 24 Hours Following the Initial Dose of Study Treatment* - 2fbc01fb b787 4ff1 bb9f 280dfe975531 03
The text seems to depict a chart or graph displaying the effects of different dosages (placebo, 25mg, 50mg, and 100mg) over time (up to 20 hours) in response to a certain medication or treatment. However, without more context it is difficult to provide a more specific description of the data being presented.*
sumatriptan succinate tablets 50mg - 2fbc01fb b787 4ff1 bb9f 280dfe975531 04
This text contains information related to a Sumatriptan medication provided by medvantx.com, including dosage instructions and a phone number to call in case the medication runs out. There's also an expiration date and lot number provided, as well as a warning to keep the container tightly closed and out of reach of children. The text appears to be a sample from Teva Pharmaceuticals USA and is not available for sale.*
* 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.