Product Images Tadalafil

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 10 images provide visual information about the product associated with Tadalafil NDC 68071-2553 by Nucare Pharmaceuticals,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.

pdp - 68071 2553 3

pdp - 68071 2553 3

NuCare Pharmaceuticals, Inc. produces and distributes a medication called Tadalafil 20mg which is available by prescription only. The medication should be kept away from children and stored at a controlled temperature of 68-77°F. Patients should contact their doctor for medical advice about any potential side effects. The medication comes in a blister pack with lot number 00000 and NDC number 68071-2553-03. The manufacturer's NDC number is 16729-372-10 and the expiration date is 00-00.*

Figure - tadalafil figure1

Figure - tadalafil figure1

Figure - tadalafil figure2

Figure - tadalafil figure2

The text appears to contain two sets of coordinates, some symbols, and a chart indicating the time post-dose in hours. It also mentions the names of certain medications and their dosages. No other context or meaningful information can be derived from this text.*

Figure - tadalafil figure3

Figure - tadalafil figure3

Figure - tadalafil figure4

Figure - tadalafil figure4

Figure 5 - tadalafil figure5

Figure 5 - tadalafil figure5

This text presents the change from baseline in IPSS total score in weeks 4, 8 and 12 of treatment with tadalafil compared to a placebo group. The text indicates that the change was statistically significant (p < 0.01).*

Figure 6 - tadalafil figure6

Figure 6 - tadalafil figure6

Figure 7 - tadalafil figure7

Figure 7 - tadalafil figure7

Figure 8 - tadalafil figure8

Figure 8 - tadalafil figure8

Chemical Structure - tadalafil structure

Chemical Structure - tadalafil structure

* 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.