Product Images Doxazosin

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 6 images provide visual information about the product associated with Doxazosin NDC 71610-153 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.

Bottle Label 2 mg - 71610 0153 60

Bottle Label 2 mg - 71610 0153 60

This appears to be a label or packaging information for a medication called Doxazosin. It comes in the form of 90 tablets and each tablet is 2mg. The manufacturer or distributor seems to be "Mo by Agtr o Tt Comt" but it is not clear. No other information is available.*

Bottle Label 8 mg - 71610 0160 16

Bottle Label 8 mg - 71610 0160 16

This is a bottle of Doxazosin medication containing 8mg tablets of the drug. There are 6000 tablets in the bottle. The medication is prescribed by a licensed physician or medical professional to treat hypertension or benign prostatic hyperplasia (BPH). The NOC# is provided for identification purposes. The rest of the text is not-available as it appears to be garbled or distorted.*

Aphena Pharma Solutions - TN - Aphena

Aphena Pharma Solutions - TN - Aphena

doxazosin-structure.jpg - doxazosin structure

doxazosin-structure.jpg - doxazosin structure

figure1.jpg - figure1

figure1.jpg - figure1

table3.jpg - table3

table3.jpg - table3

The text appears to be a summary of effectiveness data from placebo-controlled trials for doxazosin, a medication commonly used to treat symptoms related to an enlarged prostate gland in men (BPH). The data includes measurements of maximum flow rate and symptom scores before and after taking the medication. The text also includes study parameters, such as titration to a maximum or fixed dose and time since dose, as well as statistical comparisons to placebo. No additional information is available.*

* 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.