Maxalt Tablet
Product Images NDC 78206-142
View Photos of Packaging, Regulatory Labels, and Product Appearance
Product Visual Gallery
This gallery contains 8 technical images submitted to the FDA as part of the official labeling for Maxalt (NDC 78206-142). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.
As provided by Organon 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
Image Of Figure 1 (Maxalt 02)
The text provides a graph showing the estimated probability of response to different medications, including MAXALT 5mg, MAXALT 10mg, and Placebo, at different hours post-dose. The graph's x-axis represents time in hours post-dose, while the y-axis represents the probability of response percentage. It presents useful information for evaluating the effectiveness of these medications.*
Image Of Figure 2 (Maxalt 03)
The text appears to be a graph displaying the estimated probability of remedication or rescue for three different medications (Placebo, MAXALT 5 mg and MAXALT 10 mg) over a period of time (10-24 hours post-dose). The graph also includes two lines labeled "PR" and "PP" with percentages ranging from 0 to 100. Without additional context, it is unclear what the lines represent.*
Image Of Figure 3 (Maxalt 04)
This is a chart that shows the estimated probability of response to a medication called MAXALT-MLT in 5mg and 10mg doses compared to a placebo. The chart has time on the x-axis and the probability of response on the y-axis. The probability of response ranges from 0% to 100% and the time post-dose ranges from 0 to 2 hours.*
Image Of Figure 4 (Maxalt 05)
Image Of Figure 5 (Maxalt 06)
Principal Display Panel (10 mg Tablet Pouch Carton)
Principal Display Panel (10 mg Tablet Case Carton)
* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.