Dr.Groot Clinical Relief Scaler 250ml

Description

Dr.Groot Clinical Relief Scaler is a pre-shampoo scalp cleanser designed for oily, flaky, or congested scalps. Its water-based formula helps remove excess sebum and buildup while leaving the scalp feeling refreshed.

How to Use

Thoroughly wet the hair and scalp with lukewarm water. Apply an appropriate amount evenly to the scalp and hair, gently massage, then rinse thoroughly with water before shampooing.

Benefits

Helps cleanse the scalp of excess sebum, dead skin cells, and buildup. Provides a refreshing scalp-washing experience and prepares the scalp for shampooing.

Key Ingredients

Salicylic Acid, Gluconolactone, Capryloyl Salicylic Acid, Menthol, Niacinamide, Panthenol, Hyaluronic Acid, Piroctone Olamine, Climbazole

Full Ingredients

Aqua, Lauryl Hydroxysultaine, PEG-7 Glyceryl Cocoate, Potassium Cocoyl Glycinate, Disodium Cocoamphodiacetate, Sodium Chloride, Glycerin, 1,2-Hexanediol, Sodium Methyl Cocoyl Taurate, Parfum, Cetyl Ethylhexanoate, Cocamide Methyl MEA, Menthol, Panthenol, Hexylene Glycol, Salicylic Acid, Polyquaternium-22, Gluconolactone, Climbazole, Niacinamide, Tetrasodium EDTA, Piroctone Olamine, Rosmarinus Officinalis Leaf Oil, Troxerutin, Butylene Glycol, Pentylene Glycol, Adenosine, Citric Acid, Tromethamine, Lactococcus Ferment Lysate, Inulin, Hydroxyphenyl Propamidobenzoic Acid, Arginine/Lysine Polypeptide, PEG-Crosspolymer, Alcohol Denat., Biotin, Capryloyl Salicylic Acid, Hexamidine Diisethionate, Yeast Extract, Glycine Max Seed Extract, Oryza Sativa Bran Extract, Rosmarinus Officinalis Leaf Extract, Mentha Arvensis Leaf Extract, Ascorbyl Palmitate, Caffeine, Centella Asiatica Leaf Extract, Hydrolyzed Hyaluronic Acid, Hydrolyzed Sodium Hyaluronate, Madecassoside, Saccharomyces Ferment Filtrate, Sodium DNA, Sodium Hyaluronate, Eucalyptus Leaf Extract, Caprylyl Glycol, Beta-Glucan, Sodium Benzoate, Ethylhexylglycerin, Hyaluronic Acid, Sorbic Acid, Bifida Ferment Lysate, Lactobacillus Ferment Lysate, Limonene, Geraniol, Linalool, Citronellol