Product Images Montelukast Sodium
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Product Label Images
The following 5 images provide visual information about the product associated with Montelukast Sodium NDC 71610-026 by Aphena Pharma Solutions - Tennessee, Llc, 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.
71610 0026 30
Montelukast Sodium is a medication available in the form of 30 tablets. The price or cost is not clear as the has not been able to clearly identify the text.*
FIGURE 1: Change in Height (cm) from Randomization Visit by Scheduled Week (Treatment Group Mean ± Standard Error* of the Mean) - mon06 0001 01
The text describes a figure (Figure 1) which shows the change in height in centimeters of subjects who were randomized into different treatment groups. The treatment groups consisted of Montelukast (120mg), Beclometasone (338mg), and a placebo. The plot shows the change in height over time (scheduled weeks of treatment) for each group. The figure also mentions that the standard errors of the treatment group means in change of height are too small to be visible in the plot.*
Chemical Structure - mon06 0001 02
FIGURE 2: FEV1 Mean Percent Change from Baseline - mon06 0001 03
This is a figure, likely related to a clinical trial involving Montelukast Sodium, a drug used to treat asthma and allergies. The figure shows the mean percent change from baseline in FEV (Forced Expiratory Volume) over time, with weeks of treatment and washout periods displayed on the x-axis and the mean percent change from baseline on the y-axis. There are two groups represented with different colored symbols; Montelukast Sodium with 'e' and Placebo with 'O'. The figures also suggests that there were 406 participants in the Montelukast Sodium group and 270 participants in the Placebo group.*
Aphena Pharma Solutions - TN - mon06 0001 04
* 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.