Product Images Doxazosin

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Product Label Images

The following 4 images provide visual information about the product associated with Doxazosin NDC 66267-377 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.

66267 377 30

66267 377 30

This is a description of a medicine package. The medicine is Doxazosin 4mg in the form of 30 scored, round, cream-yellow tablets. The lot number is 000000, and the expiry is 00-00. The manufacturer's NDC is 16729-213-01, while the National Drug Code is 66267-0377-30, and the GTIN is 00366267377300. The patient is advised to refrain from handing the medication to children to avoid possible side effects. The package should be stored between 59-86°F.*

Table 1 - doxazosin fig1

Table 1 - doxazosin fig1

The text appears to be a table summarizing effectiveness data in placebo-controlled trials. The table includes data on maximum flow rate, symptom score, and rate of change for various doses of doxazosin and placebo in three different studies. The AUA questionnaire and Modified Boyarsky Questionnaire were used to measure symptom scores across the different studies. The text also includes additional notes on the dosage and efficacy phases in the studies.*

Figure 1 – Study 1 - doxazosin fig2

Figure 1 – Study 1 - doxazosin fig2

This text appears to be a table showing mean changes in maximum urinary flow rate (mUsec) and total symptom score from baseline, with comparison to a placebo group and to baseline. The table also includes the duration of treatment (in weeks) and a note about doxazosin titration to a maximum of 8 mg. There is also a notation indicating statistical significance for the comparison to placebo and to baseline.*

Chemical Structure - doxazosin str

Chemical Structure - doxazosin str

* 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.