Product Images Rizatriptan Benzoate
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Product Label Images
The following 6 images provide visual information about the product associated with Rizatriptan Benzoate NDC 54868-6397 by Physicians Total Care, 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.
This is a description of a medication label. The medication is Rizatriptan 16mg orally disintegrating tablet, distributed by Physicians Total Care with the lot number 8860 and an expiration date of 81/68. The NDC code is provided as 54B68-G397-1.*
This text represents the chemical formula for a carboxyl group, which is composed of one carbon atom (C), two oxygen atoms (O), and one hydrogen atom (H). It is a functional group commonly found in organic molecules such as amino acids and fatty acids.*
This appears to be a graph or chart displaying the estimated probability of remedication or rescue alongside the hours post-dose for different tablets. The tablets include placebo, Rizatriptan Benzoate Tablets 5 mg, and Rizatriptan Benzoate Tablets 10 mg. The estimated probability ranges from 0% to 100%.*
The text contains a graph showing the estimated probability of response to different treatments over time. The treatments include a placebo and orally disintegrating tablets of Rizabiptan Benzoate at two different doses (5mg and 10mg). The X-axis is labeled as "hours post-dose", and the Y-axis shows the estimated probability of response in percentage (ranging from 0% to 100%).*
This is a graph showing the estimated probability of remedication or rescue for placebo and two types of orally disintegrating tablets (5mg and 10mg) of Rizatriptan Benzoate over a period of 24 hours post-dose. The graph indicates the percentage likelihood of remedication or rescue at different points in time after taking the medication.*
* 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.