Product Images Terazosin

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 7 images provide visual information about the product associated with Terazosin NDC 50090-2623 by A-s Medication Solutions, 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.

Label Image - lbl500901559

Label Image - lbl500901559

Product Name: Prazosin 5 MG Capsules Quantity: 30 Capsules Note: The has produced some gibberish text in the beginning which is not readable.*

Label Image - lbl500902371

Label Image - lbl500902371

Label Image - lbl500902623

Label Image - lbl500902623

Terazosin Hydrochloride Chemical Structure - terazosin hydrochloride capsules 1

Terazosin Hydrochloride Chemical Structure - terazosin hydrochloride capsules 1

Figure 1 - terazosin hydrochloride capsules 2

Figure 1 - terazosin hydrochloride capsules 2

Figure 2 - terazosin hydrochloride capsules 3

Figure 2 - terazosin hydrochloride capsules 3

This appears to be a graph or table showing the mean change from baseline at different time points (in months) for a certain variable. However, without more context or information it is difficult to determine what the variable is or what type of study or research this is from.*

Figure 3 - terazosin hydrochloride capsules 4

Figure 3 - terazosin hydrochloride capsules 4

This appears to be a graph or table with a header indicating "Change from Baseline" and a unit of "mLsec". It displays measurements taken at different time intervals labeled "Month 0", "Month 1", "Month 2", etc. along with data points or values for each interval shown on the x-axis labeled "0", "3", "6", "9", "12", "15", "18", "21", "24", "27", and "30". Without additional context it is not clear what type of data is being measured or what the purpose of the graph/table is.*

* 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.