Product Images Sumatriptan Succinate
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 6 images provide visual information about the product associated with Sumatriptan Succinate NDC 51407-013 by Golden State Medical Supply, 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.
51407 011 09L
51407 012 09LB
This is a description for a medication called Sumatriptan, available in the form of 50 mg tablets. The packaging includes 9 tablets, along with an insert that provides dosage information. The medication should be stored at room temperature (20-26°C or 88°F). The tablets should be swallowed whole with water and should not be split. The NDC code for this product is 51407-012-09.*
51407 013 09LB
This is a description of Sumatriptan tablets, an FDA-approved prescription medication used for migraine headaches. Each package contains 9 tablets, each of which has a strength of 100mg. The tablets must be swallowed whole with water and should not be split. The package insert contains information on recommended dosages. The medication should be stored at room temperature without exceeding 26°C (77°F).*
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This is a chart that shows the estimated probability of response for four different doses of a placebo medication. The doses are 25mg, 50mg, and 100mg. The chart displays the probability of response over time, in intervals of 30 minutes up to 180 minutes, and then at 210 and 240 minutes.*
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The text appears to be a graph showing the estimated probability of remedication or rescue over time after the initial dose of a substance (possibly a medication). The graph has a horizontal axis indicating time in hours and a vertical axis indicating the probability of remedication/rescue. The only label on the graph is "placebo". It is not possible to determine what the substance is or what the specific probabilities are without further context.*
* 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.
