Singulair
Product Images NDC 54868-4630

Product Visual Gallery

This gallery contains 6 technical images submitted to the FDA as part of the official labeling for Singulair (NDC 54868-4630). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Physicians Total Care, Inc., these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

FDA Label Image

Principal Display Panel (Tablets)

This is a prescription medication called Singulair, distributed by Physicians Total Care. The package contains 30 tablets and the National Drug Code (NDC) is 54868-3283-1. The lot number is 6000 with an expiration date of IJME 61460. The remaining text is not available due to its incompleteness and inconsistency.*

FDA Label Image

Principal Display Panel (Chewable Tablets)

This is a medication called Singulair (4mg chewable tablets) that comes in a bottle of 30 tablets. The bottle was distributed by Physicians Total Care and has a lot number of "0000" with an expiration date of 61760.*

FDA Label Image

Principal Display Panel (Chewable Tablets)

This is a product description for a 30 TAB pack of Singulair SHG ChenAble, distributed by Physicians Total Care. It has a LOT number, 0o, and an expiration date of 01/60. There is also a string of characters - TN: 43470300000.*

FDA Label Image

Image Of Figure 1 (53b7439e F65d 401b 8267 79a1e6be2895 01)

The data is presenting a graph that illustrates the change in height in centimeters over a certain period of time. However, due to the small nature of the standard errors in the treatment group means, they cannot be seen on the plot.*

FDA Label Image

Image Of Montelukast Sodium Chemical Structure (53b7439e F65d 401b 8267 79a1e6be2895 02)

FDA Label Image

Image Of Figure 2 (53b7439e F65d 401b 8267 79a1e6be2895 03)

* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.