Product Images Alyq

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 5 images provide visual information about the product associated with Alyq NDC 42291-804 by Avkare, 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 - Figure 1

Figure 1 - Figure 1

The text represents a graph or chart that shows the mean change from baseline in meters for a placebo group of 62 people and a group of 79 people who took Tadalafil 40 mg. The graph shows that the Tadalafil group had a larger mean change from baseline than the placebo group. The asterisk and p-value indicate that the difference between the two groups is statistically significant (p=0.0152). The graph covers a period of 16 weeks.*

Figure 2 - Figure 2

Figure 2 - Figure 2

This text appears to be a table showing some clinical trial data related to the use of Bosentan for PAH (Pulmonary Arterial Hypertension). The table provides information related to different subjects with different characteristics like Baseline 6-Minute Walk Distance, PAH Etiology, Gender, and Age. The table also shows the number of subjects and their placebo-adjusted mean change in the 6-Minute Walk Distance. There is also a comparison of the data with 95% confidence intervals between Placebo and Tadalafil (PAH) 40 mg. Overall, the text seems to be a study report of a clinical trial.*

Figure 3 - Figure 3

Figure 3 - Figure 3

Label - Label 4229180460 Tadalafil (PAH) 2019 20mg

Label - Label 4229180460 Tadalafil (PAH) 2019 20mg

This is a medication with the National Drug Code (NDC) of 42291-804-60 containing the active ingredient Tadalafil, USP. It is packaged with 60 tablets and can only be obtained with a prescription (Rx Only). It appears to be indicated for Pulmonary Arterial Hypertension (PAH).*

formula - images 1

formula - images 1

* 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.