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Encyclopedia
R
- Recovery
- What Recovery Means
- Recovery Does Not Look the Same for Everyone
- The Many Dimensions of Recovery
- Recovery Capital
- Education and Knowledge in Recovery
- Relationships, Trust and Social Connection
- Practical Stability: Home, Money and Daily Life
- Purpose, Identity and Meaningful Activity
- Continuing Care and Coordinated Support
- Recovery After Setbacks or Recurrence
- Recovery for Families and Supporters
- Advanced Depth: Recovery Models, Capital, Outcomes and Systems of Care
- Reinforcement
- What Reinforcement Means
- Positive Reinforcement: When an Effect Makes Use More Likely
- Negative Reinforcement: When Relief Strengthens Behaviour
- Negative Reinforcement Is Not Punishment
- Why Immediate Effects Can Outweigh Distant Consequences
- Cues, Context and Reinforced Behaviour
- Why Substance Use Can Continue After the Pleasure Fades
- Reinforcement, Withdrawal and Craving
- Reinforcement Does Not Remove Choice or Responsibility
- Changing What Is Reinforced During Recovery
- Advanced Depth: Reinforcement Learning, Prediction Error and Addiction
- Relapse
- What Relapse Means
- Relapse Is Possible, Not Inevitable
- Relapse Usually Has More Than One Cause
- Craving and Triggers Increase Risk but Do Not Decide the Outcome
- When Risk Builds Gradually, and When It Does Not
- One Episode Does Not Have to Become a Full Return
- Safety After a Return to Use
- What a Relapse Can Tell Us
- Relapse, Families and Trust
- Returning to Recovery After Relapse
- Advanced Depth: Relapse Models, Prediction and Clinical Response
- Relationships & Responsibility
- Residential Rehabilitation and Treatment Choices
- Resilience
- Reward
- What Reward Means
- Reward Is Not the Same as Reinforcement
- Liking, Wanting and Learning
- When Wanting Becomes Stronger Than Liking
- How Cues Gain Motivational Power
- Reward Learning and Prediction
- Why Substance Rewards Can Dominate Attention and Choice
- Reward, Pleasure and Tolerance
- Reward, Craving and Motivation
- Reward During Recovery
- Advanced Depth: Reward Circuits, Incentive Salience and Prediction Error
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