Product Images Montelukast Sodium
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Product Label Images
The following 6 images provide visual information about the product associated with Montelukast Sodium NDC 54868-6362 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.
Figure 1: Change in Height (cm) From Randomization Visit by Scheduled Week (Treatment Group Mean ± Standard Error of the Mean) - 26dd1d17 c192 456a af9b 307d3231363c 01
The text describes a graph showing the change in height (in cm) over weeks of three different treatment groups: Montelukast, Beclomethasone, and Placebo. The number of patients in each group is also provided. However, the text notes that the standard errors of the treatment group means are too small to be visible on the plot.*
montelukast sodium structural formula - 26dd1d17 c192 456a af9b 307d3231363c 02
Figure 2: FEV1 Mean Percent Change From Baseline (U.S. Trial: Montelukast Sodium N = 406; Placebo N = 270) (ANOVA Model) - 26dd1d17 c192 456a af9b 307d3231363c 03
Montelukast Sodium Tablets 10 mg Label - 6361
This appears to be a description of a medication identified by the National Drug Code (NDC) 54858-6361-8, with a 38 tablet count and the active ingredient montelukast sodium, at a strength of 16mg. The lot number is indicated as 0888 with an expiration date of 61/68. The text may be incomplete and further details about BISY, EV, or DUYIICIRNE are not given, as they may be a label or brand name that requires further context.*
Montelukast Sodium Chewable Tablets 5 mg Label - 6362
This is a medicine label with information related to a chewable tablet containing montelukast sodium for treating respiratory problems. The label includes the lot number, expiration date, and a product code.*
Montelukast Sodium Chewable Tablets 4 mg Label - 6363
* 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.