Product Images Tamsulosin Hydrochloride
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 7 images provide visual information about the product associated with Tamsulosin Hydrochloride NDC 52959-034 by H.j. Harkins Company, 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.
100 Tablets Container label - Tamsulosin HCl Capsules Container Label 100 Tablets
This is a description of a medication called Tamsulosin HCL in capsule form. The lot number mentioned is TSUOOWU and the expiry date is 07/12. The medication is manufactured by Wockhardt, based in India and has an NDC code of 64679-516-02. The capsules are orange with a green e cap. The medication should be taken as directed by a doctor or following information in the outsert, which provides usual dosage information. The medication is compared to Flomax. The rest of the text appears to include instructions and warnings likely on the packaging but is not readable.*
FIGURE1 - Tamsulosin HCl Capsules FIGURE 1
Figure 2A - Tamsulosin HCl Capsules Figure 2A
This appears to be a table representing a clinical trial. It includes information on treatment options, dosage, and duration, with different groups of participants represented by n values. There is also a column labeled "Mean Change" but without further information, it is unclear what this refers to.*
Figure 2B - Tamsulosin HCl Capsules Figure 2B
This appears to be a table showing the "Mean Change" in a treatment group compared to a placebo group over various durations of treatment, measured in weeks. There are different dosages of the treatment being compared. The exact treatment is not provided, and some characters in the table are not readable.*
Figure3A - Tamsulosin HCl Capsules Figure 3A
Figure3B - Tamsulosin HCl Capsules Figure 3B
Structure - Tamsulosin HCl Capsules 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.