Hostname: page-component-848d4c4894-r5zm4 Total loading time: 0 Render date: 2024-06-19T14:14:32.129Z Has data issue: false hasContentIssue false

Personality changes related to presence and treatment of substance use (disorders): a systematic review

Published online by Cambridge University Press:  22 April 2024

Christina M. Juchem
Affiliation:
Department of Psychology, Institute for Mental Health and Behavioral Medicine, HMU Health and Medical University, Potsdam, Germany
Antonia Bendau*
Affiliation:
Department of Psychology, Institute for Mental Health and Behavioral Medicine, HMU Health and Medical University, Potsdam, Germany Department of Psychiatry and Neurosciences, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, CCM, Charitéplatz 1, 10117 Berlin, Germany
Leonie C. Bandurski
Affiliation:
Department of Psychology, Institute for Mental Health and Behavioral Medicine, HMU Health and Medical University, Potsdam, Germany
Nico J. Reich
Affiliation:
Department of Psychology, Institute for Mental Health and Behavioral Medicine, HMU Health and Medical University, Potsdam, Germany
Saskia Baumgardt
Affiliation:
Department of Psychology, Institute for Mental Health and Behavioral Medicine, HMU Health and Medical University, Potsdam, Germany
Eva Asselmann
Affiliation:
Department of Psychology, Institute for Mental Health and Behavioral Medicine, HMU Health and Medical University, Potsdam, Germany
*
Corresponding author: Antonia Bendau; Email: antonia.bendau@charite.de
Rights & Permissions [Opens in a new window]

Abstract

Heavy substance use (SU) and substance use disorders (SUD) have complex etiologies and often severe consequences. Certain personality traits have been associated with an increased risk for SU(D), but far less is known about personality changes related to SU(D). This review aims to synthesize the existing literature on this research question. A systematic literature search was conducted from November 2022 to February 2023 in PubMed, EbscoHost, and Web of Science. Peer-reviewed original papers on SU(D)-related personality changes were included. Of 55 included studies, 38 were observational population-based studies and 17 were intervention studies. Overall, personality and SU measures, samples, study designs, and statistical approaches were highly heterogenous. In observational studies, higher SU was most consistently related to increases in impulsivity-related traits and (less so) neuroticism, while interventions in the context of SU(D) were mostly associated with increases in conscientiousness and self-efficacy and lasting decreases in neuroticism. Findings for traits related to extraversion, openness, conscientiousness, and agreeableness were mixed and depended on SU measure and age. Studies on bidirectional associations suggest that personality and SU(D) both influence each other over time. Due to their strong association with SU(D), impulsivity-related traits may be important target points for interventions. Future work may investigate the mechanisms underlying personality changes related to SU(D), distinguishing substance-specific effects from general SU(D)-related processes like withdrawal, craving, and loss of control. Furthermore, more research is needed to examine whether SU(D)-related personality changes vary by developmental stage and clinical features (e.g. initial use, onset, remission, and relapse).

Type
Review Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
Copyright © The Author(s), 2024. Published by Cambridge University Press

Introduction

Heavy substance use (SU) and substance use disorders (SUD) are highly prevalent conditions that can have severe consequences for individuals, their families, and society (Gowing et al., Reference Gowing, Ali, Allsop, Marsden, Turf, West and Witton2015). According to vulnerability/diathesis-stress-models (Whelan et al., Reference Whelan, Watts, Orr, Althoff, Artiges, Banaschewski and Garavan2014; Wittchen et al., Reference Wittchen, Knappe, Andersson, Araya, Banos Rivera, Barkham and Berking2014; Zuckerman, Reference Zuckerman and Zuckerman2000), SU(D) results from interactions between environmental stressors, psychosocial characteristics, and individual vulnerabilities, including specific personality traits (Kotov, Gamez, Schmidt, & Watson, Reference Kotov, Gamez, Schmidt and Watson2010; Nevid, Gordon, Miele, & Keating, Reference Nevid, Gordon, Miele and Keating2020).

Personality traits are relatively stable and enduring patterns of thoughts, feelings, and behaviors that differ between individuals (Kandler, Zimmermann, & McAdams, Reference Kandler, Zimmermann and McAdams2014). A large proportion of these differences can be described by the Big Five traits extraversion, agreeableness, conscientiousness, neuroticism, and openness to experience (McCrae & Costa, Reference McCrae, Costa, Boyle, Matthews and Saklofske2008). Extraversion refers to one's sociability, assertiveness, and preference for social interactions. Neuroticism reflects negative affect, emotional instability, and insecurity. Openness includes intellect and willingness to explore new experiences. Conscientiousness refers to orderliness, responsibility, and self-discipline. Agreeableness refers to cooperativeness, empathy for others, and kindness. The Big Five are linked to life outcomes in various domains including health (Strickhouser, Zell, & Krizan, Reference Strickhouser, Zell and Krizan2017). For example, individuals high in neuroticism are more susceptible to stress and detrimental coping strategies like substance use (Connor-Smith & Flachsbart, Reference Connor-Smith and Flachsbart2007), and individuals low in agreeableness may be less likely to comply with legal regulations, increasing the likelihood of illicit drug use (Dash, Martin, & Slutske, Reference Dash, Martin and Slutske2023). More broadly, personality also subsumes other traits, such as self-esteem or impulsivity. The terms impulsivity and impulsiveness are often used interchangeably in the literature yet their precise definition may vary by context. Here, we use the more common term impulsivity, which describes the tendency to act on impulse and without considering the consequences. Impulsivity overlaps with other personality measures. For example, the frequently used UPPS Impulsive Behavior scale (Whiteside & Lynam, Reference Whiteside and Lynam2009) includes four facets that relate to specific facets of the Big Five: Urgency (neuroticism), perseverance and premeditation (conscientiousness), and sensation seeking (extraversion) (Kandler et al., Reference Kandler, Zimmermann and McAdams2014).

Although personality traits are relatively stable in the short term, they can – and do – change over time. Previous studies have shown that personality develops across the entire lifespan and in relation to major life experiences (Bleidorn, Hopwood, & Lucas, Reference Bleidorn, Hopwood and Lucas2018; Denissen, Luhmann, Chung, & Bleidorn, Reference Denissen, Luhmann, Chung and Bleidorn2019). Theoretical framework (e.g. TESSERA) assume that personality may change due to repeated sequences of triggering situations, expectancies, state expressions, reactions, and associative/reflective processes (Wrzus & Roberts, Reference Wrzus and Roberts2017). These components may be affected by SU(D). For example, individuals with SUD often invest increasing time in obtaining/using drugs and neglect other areas of life (e.g. social relationships and work), which might lower conscientiousness. Moreover, substance-specific physiological effects may lead to changes in personality traits. Taken together, personality might affect whether individuals engage in SU (selection effects). At the same time, personality might change due to SU (socialization effects).

Consistently, different models on the relationship between SU and personality have been proposed (Klimstra, Luyckx, Hale, & Goossens, Reference Klimstra, Luyckx, Hale and Goossens2014; Samek et al., Reference Samek, Hicks, Durbin, Hinnant, Iacono and McGue2018). The vulnerability model suggests that certain personality traits (e.g. high neuroticism) predispose to SUD. Conversely, the scar model posits that SUD leads to personality changes (e.g. increasing neuroticism). The common cause model posits that SUD and specific personality trait levels (e.g. high neuroticism) stem from shared etiological factors but do not directly influence each other. The transactional model suggests that SUD and personality bidirectionally affect each other over time (Samek et al., Reference Samek, Hicks, Durbin, Hinnant, Iacono and McGue2018). The spectrum model suggests that personality traits and (problematic) behaviors lie on the same continuum (Klimstra et al., Reference Klimstra, Luyckx, Hale and Goossens2014; Krueger et al., Reference Krueger, Hobbs, Conway, Dick, Dretsch, Eaton and Kotov2021; Krueger & Tackett, Reference Krueger and Tackett2003). For example, SU could be a manifestation of neuroticism, so that increasing neuroticism should be correlated with increasing SU.

The predictive role of personality traits in SUD has been widely studied (for a meta-analysis see Kotov et al., Reference Kotov, Gamez, Schmidt and Watson2010). In line with the vulnerability model, numerous studies have shown that certain trait levels, especially high neuroticism, impulsivity, and sensation seeking, as well as low self-directedness and harm avoidance, relate to an increased risk for SUD (Dash et al., Reference Dash, Slutske, Martin, Statham, Agrawal and Lynskey2019; Kotov et al., Reference Kotov, Gamez, Schmidt and Watson2010; Nevid et al., Reference Nevid, Gordon, Miele and Keating2020; Sher, Bartholow, & Wood, Reference Sher, Bartholow and Wood2000; Whiteside & Lynam, Reference Whiteside and Lynam2009). In contrast, much less is known about personality changes associated with SU(D) (Blonigen et al., Reference Blonigen, Durbin, Hicks, Johnson, McGue and Iacono2015; Kroencke, Kuper, Bleidorn, & Denissen, Reference Kroencke, Kuper, Bleidorn and Denissen2021). Different substances might also be associated with different (changes in) personality traits due to substance-specific physiological mechanisms, social norms, and legal regulations (e.g. alcohol v. illicit drugs) (Robinson & Adinoff, Reference Robinson and Adinoff2016).

Research on SU(D)-related personality changes is important for several reasons. First, it may identify important mechanisms underlying personality development. For example, how does SU affect personality, and how might these effects explain age-graded personality changes (e.g. during adolescence)? Second, it may improve knowledge concerning the impact of personality changes on SU(D). To illustrate, does increasing neuroticism lead to heavier drinking? Examining such questions may provide predictive markers of symptom progression and recovery, which are needed for early detection and targeted intervention (Choi et al., Reference Choi, Driver, Balcke, Saunders, Langberg and Dick2023; Conrod, Reference Conrod2019; Debenham et al., Reference Debenham, Grummitt, Newton, Teesson, Slade, Conrod and Kelly2021; Kroencke et al., Reference Kroencke, Kuper, Bleidorn and Denissen2021). Third, findings on personality changes due to SU(D) interventions may elucidate indicators of treatment success (Blonigen & Macia, Reference Blonigen and Macia2021; Hershberger, Um, & Cyders, Reference Hershberger, Um and Cyders2017).

Despite its importance, research on SU(D)-related personality changes is fragmented and lacks a comprehensive synthesis (Kroencke et al., Reference Kroencke, Kuper, Bleidorn and Denissen2021; Nevid et al., Reference Nevid, Gordon, Miele and Keating2020). Thus, this systematic review aims to summarize existing evidence in this field by addressing the following research questions: (1) How does personality change before, during, and after the onset or remission of SU(D) (within-person comparisons)? (2) How are personality changes related to changes in diagnostic features (e.g. symptom severity) of SU(D) (within-person comparisons)? (3) Do personality changes differ between individuals with v. without SU(D) (between-person comparisons)?

Methods

Literature search

This review was preregistered in the PROSPERO Systematic Reviews Database (CRD42022370973) and follows the PRISMA and other best practice guidelines for systematic reviews (Page et al., Reference Page, McKenzie, Bossuyt, Boutron, Hoffmann, Mulrow and Brennan2021; Siddaway, Wood, & Hedges, Reference Siddaway, Wood and Hedges2019).

A systematic literature search was conducted on EBSCOhost, PubMed, and Web of Science (11/2022-01/2023). Additionally, literature cited in the identified papers was manually retrieved for further analysis. The review was restricted to peer-reviewed original papers published in academic journals in either English or German language, focusing exclusively on studies in humans. No restrictions were applied regarding the date of publication or other formal aspects of the search. Search terms were applied to the title, keywords, and abstract of potential studies. To ensure inclusion of the most recent studies, the search was repeated prior to the final submission.

Search terms (online Supplementary Table S1) included a combination of personality (e.g. Big Five domains, self-efficacy, impulsivity), change (e.g. change, development), and SU/addiction (e.g. addiction, substance use disorder, heavy drinking) keywords. The PRISMA flowchart (Fig. 1) depicts the procedure of the search, screening, and data extraction.

Figure 1. PRISMA flow diagram.

Screening and data extraction

To select the studies for inclusion, 2 reviewers applied the eligibility criteria. One reviewer screened the records and selected the studies based on the inclusion/exclusion criteria, while the other reviewer double-checked these decisions. Disagreements were resolved by consulting a third independent reviewer and finding a consensus decision. The same procedure was carried out for extracting and checking the retrieved data. The reviewers followed a standardized protocol with several steps, including examination of the titles and abstracts of references obtained from the databases and reading the full texts of potentially relevant articles. Of the studies meeting inclusion criteria, the aims, methods (e.g. country, sample, design, outcome variables), results, limitations, and potential biases were recorded and summarized. Given the heterogeneity of personality traits, SU measures, samples, study designs, and statistical approaches, a narrative synthesis rather than a meta-analysis was conducted.

Results

Of the 55 studies that met the inclusion criteria (publication dates: 1986–2022), 38 were observational studies on SU-related personality changes in population samples (Table 1) and 17 were (clinical) intervention studies in individuals with or at high risk for SU(D) (Table 2). Because the literature search yielded a plethora of personality constructs, we created eight clusters based on conceptual overlap among them: extraversion-related traits, neuroticism-related traits, openness-related traits, conscientiousness-related traits, agreeableness-related traits, impulsivity-related traits, self-efficacy/self-esteem-related traits, and other. See online Supplementary Table S3 for more information. We did this to better structure the results and to identify similarities and differences in the findings.

Table 1. Observational population-based studies

SU(D), substance use (disorder); AUD, alcohol use disorder.

a Studies used data from the Household, Income, and Labour Dynamics Study (Australia).

b Analyses were run separately for substances.

c Studies used data from the Minnesota Twin Family Study (United States).

d Bidirectionality between SU and personality trait (change) was explicitly modeled.

e Studies used data from the Health and Retirement Study (HRS) (United States).

f Studies used data from the Midlife in the US Study (MIDUS) (United States).

g Studies used data from the Socio-economic Panel (GSOEP) (Germany).

h Studies used data from the Wisconsin Longitudinal Study (WLS) (United States).

i Study's primary aim was to investigate stability (not change) of personality traits.

j Studies used data from the Midlife in Japan Study (MIDJA) (Japan).

k The same sample and measure for impulsivity was used, time frames were partly overlapping.

l Analyses were run combinedly for substances.

m The same sample across a similar time frame was used but different measures for impulsivity and extraversion were employed.

n Studies used data from the National Longitudinal Study of Youth (NLSY).

Table 2. Intervention studies

AUD, alcohol use disorder; DSM, Diagnostic and Statistical Manual of Mental Disorders; SU(D), substance use (disorder).

a Study's primary aim was to investigate stability (not change) of personality traits.

Observational studies

Samples

The sample sizes of the population-based studies varied significantly from 99 to 56 786 participants. Thirteen studies focused on adolescents, 17 on young adults (mostly university students), one on middle-aged adults only, and 7 on the entire adult lifespan.

Notably, 18 studies used at least partially overlapping data, which need to be considered when interpreting results. Specifically, Allen, Vella, & Laborde (Reference Allen, Vella and Laborde2015), Hakulinen and Jokela (Reference Hakulinen and Jokela2019), and Jokela, Airaksinen, Kivimäki, and Hakulinen (Reference Jokela, Airaksinen, Kivimäki and Hakulinen2018) used data from the Household, Income, and Labour Dynamics Study (HILDA) in Australia. Jokela et al. (Reference Jokela, Airaksinen, Kivimäki and Hakulinen2018), Hakulinen and Jokela (Reference Hakulinen and Jokela2019), Luchetti, Terracciano, Stephan, and Sutin (Reference Luchetti, Terracciano, Stephan and Sutin2018), and Stephan, Sutin, Luchetti, Caille, and Terracciano (Reference Stephan, Sutin, Luchetti, Caille and Terracciano2019) used data from the Health and Retirement Study (HRS) in the US. Jokela et al. (Reference Jokela, Airaksinen, Kivimäki and Hakulinen2018) and Stephan et al. (Reference Stephan, Sutin, Luchetti, Caille and Terracciano2019) used data from the Midlife in Japan Study (MIDJA). Jokela et al. (Reference Jokela, Airaksinen, Kivimäki and Hakulinen2018), Hakulinen and Jokela (Reference Hakulinen and Jokela2019), and Turiano, Whiteman, Hampson, Roberts, and Mroczek (Reference Turiano, Whiteman, Hampson, Roberts and Mroczek2012) used data from the Midlife in the US Study (MIDUS). Jokela et al. (Reference Jokela, Airaksinen, Kivimäki and Hakulinen2018) and Hakulinen and Jokela (Reference Hakulinen and Jokela2019) used data from the German Socio-economic Panel (GSOEP). Jokela et al. (Reference Jokela, Airaksinen, Kivimäki and Hakulinen2018), Hakulinen and Jokela (Reference Hakulinen and Jokela2019), and Stephan et al. (Reference Stephan, Sutin, Luchetti, Caille and Terracciano2019) used data from the Wisconsin Longitudinal Study (WLS) in the US. Blonigen et al. (Reference Blonigen, Durbin, Hicks, Johnson, McGue and Iacono2015), Hicks, Durbin, Blonigen, Iacono, and McGue (Reference Hicks, Durbin, Blonigen, Iacono and McGue2012), and Samek et al. (Reference Samek, Hicks, Durbin, Hinnant, Iacono and McGue2018) used data from the Minnesota Twin Family Study in the US. Quinn and Harden (Reference Quinn and Harden2013) and Wright and Jackson (Reference Wright and Jackson2022) used data from the National Longitudinal Study of Youth (NLSY) in the US. Littlefield, Sher, and Wood (Reference Littlefield, Sher and Wood2009), Littlefield, Sher, and Wood (Reference Littlefield, Sher and Wood2010b), Littlefield, Sher, and Steinley (Reference Littlefield, Sher and Steinley2010a), Littlefield and Sher (Reference Littlefield and Sher2012), and Littlefield, Vergés, Wood, and Sher (Reference Littlefield, Vergés, Wood and Sher2012) used data from the same student sample with similar time frames but considered different measures of impulsivity and extraversion. Kaiser, Bonsu, Charnigo, Milich, and Lynam (Reference Kaiser, Bonsu, Charnigo, Milich and Lynam2016) and Kaiser, Davis, Milich, Smith, and Charnigo (Reference Kaiser, Davis, Milich, Smith and Charnigo2018) used data from the same sample and measure of impulsivity; time frames were partly overlapping.

Study designs

In line with our search criteria, all studies were based on a longitudinal design, with number of waves ranging from 2 to 14 (median: 3 waves). The time span over which personality changes were assessed varied between 17 months and 30 years (median: 5 years). We present standardized effect sizes as exemplary but refrain from interpretations due to the large heterogeneity of studies.

Substances

In the observational studies, 31 studies investigated alcohol, 12 nicotine, 9 cannabis, and one ecstasy use. In addition, 4 studies investigated multiple drug use including cocaine and sedatives, and 2 examined SU in general without differentiation between different substances. Indicators of both SU and personality are described in online Supplementary Table S2.)

Extraversion-related traits (18 studies)

Seven of 15 studies reported at least one significant association between alcohol use and changes in extraversion (Hakulinen & Jokela, Reference Hakulinen and Jokela2019; Jokela et al., Reference Jokela, Airaksinen, Kivimäki and Hakulinen2018; Klimstra et al., Reference Klimstra, Luyckx, Hale and Goossens2014; Luchetti et al., Reference Luchetti, Terracciano, Stephan and Sutin2018; Östlund, Hensing, Sundh, & Spak, Reference Östlund, Hensing, Sundh and Spak2007), positive emotionality (Blonigen et al., Reference Blonigen, Durbin, Hicks, Johnson, McGue and Iacono2015), or sociability (Gmel, Marmet, Studer, & Wicki, Reference Gmel, Marmet, Studer and Wicki2020). However, these findings were inconsistent and varied, for example, by facet of extraversion (Östlund et al., Reference Östlund, Hensing, Sundh and Spak2007), measure, and cohort (Hakulinen & Jokela, Reference Hakulinen and Jokela2019). Eight studies in adults of different ages found no significant associations between alcohol use and extraversion-related changes using various SU(D) measures (Allen et al., Reference Allen, Vella and Laborde2015; Hicks et al., Reference Hicks, Durbin, Blonigen, Iacono and McGue2012; Kroencke et al., Reference Kroencke, Kuper, Bleidorn and Denissen2021; Littlefield et al., Reference Littlefield, Sher and Wood2009, Reference Littlefield, Sher and Wood2010b; Robert et al., Reference Robert, Luo, Yu, Chu, Ing, Jia and Schumann2020; Stein, Newcomb, & Bentler, Reference Stein, Newcomb and Bentler1987; Turiano et al., Reference Turiano, Whiteman, Hampson, Roberts and Mroczek2012).

For nicotine use, research found that initiation of smoking was linked to a small increase in extraversion (β = 0.07) (Jokela et al., Reference Jokela, Airaksinen, Kivimäki and Hakulinen2018) or that persistent smokers became less extraverted (d = 0.09–0.22) (Stephan et al., Reference Stephan, Sutin, Luchetti, Caille and Terracciano2019). Other studies found that nicotine use was unrelated to changes in extraversion (Kroencke et al., Reference Kroencke, Kuper, Bleidorn and Denissen2021; Turiano et al., Reference Turiano, Whiteman, Hampson, Roberts and Mroczek2012) and positive emotionality (Welch & Poulton, Reference Welch and Poulton2009).

For cannabis and other drug use, one study found that higher cannabis use was associated with increases in extraversion in university students (Klimstra et al., Reference Klimstra, Luyckx, Hale and Goossens2014), while 2 studies found no significant links in adult samples (Kroencke et al., Reference Kroencke, Kuper, Bleidorn and Denissen2021; Turiano et al., Reference Turiano, Whiteman, Hampson, Roberts and Mroczek2012). Taken together, the evidence on alcohol, nicotine, and other SU and changes in extraversion was inconsistent, with different directions of change, depending on age and personality measure.

Neuroticism-related traits (21 studies)

Eleven of 16 studies found that alcohol use was associated with increases in at least one neuroticism-related trait in samples of all ages (Allen et al., Reference Allen, Vella and Laborde2015; Blonigen et al., Reference Blonigen, Durbin, Hicks, Johnson, McGue and Iacono2015; Gmel et al., Reference Gmel, Marmet, Studer and Wicki2020; Hakulinen & Jokela, Reference Hakulinen and Jokela2019; Hicks et al., Reference Hicks, Durbin, Blonigen, Iacono and McGue2012; Littlefield et al., Reference Littlefield, Sher and Wood2009, Reference Littlefield, Sher and Wood2010b; Malmberg et al., Reference Malmberg, Kleinjan, Overbeek, Vermulst, Lammers and Engels2013; Östlund et al., Reference Östlund, Hensing, Sundh and Spak2007; Samek et al., Reference Samek, Hicks, Durbin, Hinnant, Iacono and McGue2018; Turiano et al., Reference Turiano, Whiteman, Hampson, Roberts and Mroczek2012), although these findings were small (e.g. β = 0.04 in Allen et al., Reference Allen, Vella and Laborde2015) and varied by trait: Increased alcohol use was associated with increases in aggressive undercontrol but not negative emotionality in Samek et al. (Reference Samek, Hicks, Durbin, Hinnant, Iacono and McGue2018), increases in aggression hostility but not neuroticism-anxiety in Gmel at al. (2020), and increases in hopelessness but not anxiety sensitivity in Malmberg et al. (Reference Malmberg, Kleinjan, Overbeek, Vermulst, Lammers and Engels2013). Five studies found no significant associations between alcohol use and neuroticism-related traits (Jokela et al., Reference Jokela, Airaksinen, Kivimäki and Hakulinen2018; Klimstra et al., Reference Klimstra, Luyckx, Hale and Goossens2014; Kroencke et al., Reference Kroencke, Kuper, Bleidorn and Denissen2021; Luchetti et al., Reference Luchetti, Terracciano, Stephan and Sutin2018; Robert et al., Reference Robert, Luo, Yu, Chu, Ing, Jia and Schumann2020).

Six of 10 studies found that nicotine use was linked to increases in neuroticism-related traits (Allen et al., Reference Allen, Vella and Laborde2015; Littlefield & Sher, Reference Littlefield and Sher2012; Malmberg et al., Reference Malmberg, Kleinjan, Overbeek, Vermulst, Lammers and Engels2013; Mathijssen, Rozema, Hiemstra, Jansen, & van Oers, Reference Mathijssen, Rozema, Hiemstra, Jansen and van Oers2021; Stephan et al., Reference Stephan, Sutin, Luchetti, Caille and Terracciano2019; Welch & Poulton, Reference Welch and Poulton2009), although these effects were small (e.g. β = 0.07 for hopelessness in Malmberg et al., Reference Malmberg, Kleinjan, Overbeek, Vermulst, Lammers and Engels2013) and often not consistent over the study period (e.g. Littlefield & Sher, Reference Littlefield and Sher2012; Malmberg et al., Reference Malmberg, Kleinjan, Overbeek, Vermulst, Lammers and Engels2013). One study found a small decrease in neuroticism following smoking initiation (Kroencke et al., Reference Kroencke, Kuper, Bleidorn and Denissen2021), and 3 studies found no significant association between nicotine use and neuroticism (Jokela et al., Reference Jokela, Airaksinen, Kivimäki and Hakulinen2018; Turiano et al., Reference Turiano, Whiteman, Hampson, Roberts and Mroczek2012) or hopelessness (Mathijssen et al., Reference Mathijssen, Rozema, Hiemstra, Jansen and van Oers2021).

For cannabis and other drugs, one study found that increasing sedative use was associated with subsequent increases in neuroticism (Kroencke et al., Reference Kroencke, Kuper, Bleidorn and Denissen2021), while 2 studies found no significant associations (Klimstra et al., Reference Klimstra, Luyckx, Hale and Goossens2014; Turiano et al., Reference Turiano, Whiteman, Hampson, Roberts and Mroczek2012). In sum, this indicates an association between higher alcohol use and increases in some neuroticism-related traits, while the evidence is less consistent for nicotine and other substances.

Openness-related traits (11 studies)

Four studies found associations between higher alcohol use and increases in openness (Klimstra et al., Reference Klimstra, Luyckx, Hale and Goossens2014; Robert et al., Reference Robert, Luo, Yu, Chu, Ing, Jia and Schumann2020; Turiano et al., Reference Turiano, Whiteman, Hampson, Roberts and Mroczek2012) or novelty seeking (Littlefield et al., Reference Littlefield, Vergés, Wood and Sher2012), mostly in young adults. In contrast, 5 studies (mostly based on adults of all ages) found no such associations (Allen et al., Reference Allen, Vella and Laborde2015; Hakulinen & Jokela, Reference Hakulinen and Jokela2019; Jokela et al., Reference Jokela, Airaksinen, Kivimäki and Hakulinen2018; Littlefield et al., Reference Littlefield, Sher and Wood2010b; Luchetti et al., Reference Luchetti, Terracciano, Stephan and Sutin2018).

For nicotine use, one study found that openness decreased among persistent smokers (Stephan et al., Reference Stephan, Sutin, Luchetti, Caille and Terracciano2019), while 4 studies found no significant association between nicotine use and change in openness (Allen et al., Reference Allen, Vella and Laborde2015; Jokela et al., Reference Jokela, Airaksinen, Kivimäki and Hakulinen2018; Kroencke et al., Reference Kroencke, Kuper, Bleidorn and Denissen2021; Turiano et al., Reference Turiano, Whiteman, Hampson, Roberts and Mroczek2012). For cannabis and other drug use, one study found that higher cannabis was linked to increases in openness and its facet unconventionality in a college sample (Klimstra et al., Reference Klimstra, Luyckx, Hale and Goossens2014), while other research found no significant associations in adults (Kroencke et al., Reference Kroencke, Kuper, Bleidorn and Denissen2021). Overall, some evidence suggests that alcohol and cannabis use may be associated with increases in openness in adolescents and young adults.

Conscientiousness-related traits (16 studies)

Eight of 14 studies found that alcohol use was associated with decreases in conscientiousness-related traits (Blonigen et al., Reference Blonigen, Durbin, Hicks, Johnson, McGue and Iacono2015; Hakulinen & Jokela, Reference Hakulinen and Jokela2019; Hicks et al., Reference Hicks, Durbin, Blonigen, Iacono and McGue2012; Jokela et al., Reference Jokela, Airaksinen, Kivimäki and Hakulinen2018; Klimstra et al., Reference Klimstra, Luyckx, Hale and Goossens2014; Littlefield et al., Reference Littlefield, Sher and Wood2010b; Luchetti et al., Reference Luchetti, Terracciano, Stephan and Sutin2018; Samek et al., Reference Samek, Hicks, Durbin, Hinnant, Iacono and McGue2018), with small effect sizes (e.g. β = 0.09 in Jokela et al., Reference Jokela, Airaksinen, Kivimäki and Hakulinen2018). Six studies found no significant associations (Allen et al., Reference Allen, Vella and Laborde2015; Kroencke et al., Reference Kroencke, Kuper, Bleidorn and Denissen2021; Robert et al., Reference Robert, Luo, Yu, Chu, Ing, Jia and Schumann2020; Roberts & Bogg, Reference Roberts and Bogg2004; Stein et al., Reference Stein, Newcomb and Bentler1987; Turiano et al., Reference Turiano, Whiteman, Hampson, Roberts and Mroczek2012), potentially because they mostly relied on frequency measures of SU (rather than problematic SU).

Four studies found that nicotine use was associated with decreases in conscientiousness, mostly in young adults (Allen et al., Reference Allen, Vella and Laborde2015; Roberts & Bogg, Reference Roberts and Bogg2004; Stephan et al., Reference Stephan, Sutin, Luchetti, Caille and Terracciano2019; Welch & Poulton, Reference Welch and Poulton2009), while 4 studies found no significant associations in adults of all ages (Jokela et al., Reference Jokela, Airaksinen, Kivimäki and Hakulinen2018; Kroencke et al., Reference Kroencke, Kuper, Bleidorn and Denissen2021; Stein et al., Reference Stein, Newcomb and Bentler1987; Turiano et al., Reference Turiano, Whiteman, Hampson, Roberts and Mroczek2012). Roberts and Bogg (Reference Roberts and Bogg2004) found that cannabis use was associated with decreases in social responsibility in young women, while Kroencke et al. (Reference Kroencke, Kuper, Bleidorn and Denissen2021) found no significant associations in an older sample of both genders. There were no significant associations between other drug use and changes in conscientiousness-related traits (Kroencke et al., Reference Kroencke, Kuper, Bleidorn and Denissen2021; Stein et al., Reference Stein, Newcomb and Bentler1987; Turiano et al., Reference Turiano, Whiteman, Hampson, Roberts and Mroczek2012). In summary, there is some (albeit inconsistent) evidence that SU may relate to small decreases in conscientiousness.

Agreeableness-related traits (13 studies)

Three studies found that higher alcohol use was associated with decreases in agreeableness (Hakulinen & Jokela, Reference Hakulinen and Jokela2019; Klimstra et al., Reference Klimstra, Luyckx, Hale and Goossens2014; Turiano et al., Reference Turiano, Whiteman, Hampson, Roberts and Mroczek2012), and one study found that trait (non)conformity ‘normalized’ after remission from alcohol use disorder (Östlund et al., Reference Östlund, Hensing, Sundh and Spak2007). However, in 7 studies, alcohol use was unrelated to changes in agreeableness-related traits (Allen et al., Reference Allen, Vella and Laborde2015; Jokela et al., Reference Jokela, Airaksinen, Kivimäki and Hakulinen2018; Kroencke et al., Reference Kroencke, Kuper, Bleidorn and Denissen2021; Littlefield et al., Reference Littlefield, Sher and Wood2010b; Luchetti et al., Reference Luchetti, Terracciano, Stephan and Sutin2018; Robert et al., Reference Robert, Luo, Yu, Chu, Ing, Jia and Schumann2020; Stein et al., Reference Stein, Newcomb and Bentler1987).

Other drug (Kroencke et al., Reference Kroencke, Kuper, Bleidorn and Denissen2021; Turiano et al., Reference Turiano, Whiteman, Hampson, Roberts and Mroczek2012) and nicotine (Allen et al., Reference Allen, Vella and Laborde2015) use were linked to decreases in agreeableness, and, conversely, smoking cessation to increases in agreeableness (Stephan et al., Reference Stephan, Sutin, Luchetti, Caille and Terracciano2019). In other studies, nicotine (Jokela et al., Reference Jokela, Airaksinen, Kivimäki and Hakulinen2018; Kroencke et al., Reference Kroencke, Kuper, Bleidorn and Denissen2021; Stein et al., Reference Stein, Newcomb and Bentler1987; Turiano et al., Reference Turiano, Whiteman, Hampson, Roberts and Mroczek2012) and cannabis (Klimstra et al., Reference Klimstra, Luyckx, Hale and Goossens2014; Kroencke et al., Reference Kroencke, Kuper, Bleidorn and Denissen2021) use were unrelated to changes in agreeableness. Taken together, a few studies suggest that SU(D) is associated with decreases in agreeableness-related traits, but this evidence is inconsistent.

Impulsivity-related traits (19 studies)

Ten of 10 studies found that alcohol use was associated with changes in impulsivity (Ashenhurst, Harden, Corbin, & Fromme, Reference Ashenhurst, Harden, Corbin and Fromme2015; Kaiser et al., Reference Kaiser, Bonsu, Charnigo, Milich and Lynam2016; Reference Kaiser, Davis, Milich, Smith and Charnigo2018; Littlefield et al., Reference Littlefield, Sher and Wood2009; Reference Littlefield, Sher and Steinley2010a; Malmberg et al., Reference Malmberg, Kleinjan, Overbeek, Vermulst, Lammers and Engels2013; Quinn & Harden, Reference Quinn and Harden2013; Riley, Davis, Milich, & Smith, Reference Riley, Davis, Milich and Smith2018; White et al., Reference White, Marmorstein, Crews, Bates, Mun and Loeber2011; Wright & Jackson, Reference Wright and Jackson2022), and 6 of 6 studies (based on adolescent and young adult samples) found at least one association with changes in sensation seeking (Ashenhurst et al., Reference Ashenhurst, Harden, Corbin and Fromme2015; Kaiser et al., Reference Kaiser, Bonsu, Charnigo, Milich and Lynam2016; Kaiser et al., Reference Kaiser, Davis, Milich, Smith and Charnigo2018; Malmberg et al., Reference Malmberg, Kleinjan, Overbeek, Vermulst, Lammers and Engels2013; Quinn & Harden, Reference Quinn and Harden2013; Wright & Jackson, Reference Wright and Jackson2022). The direction of change was almost exclusively positive and small to moderate in size. For instance, a within-person increase in drinking problems were linked to increases in multiple facets of impulsivity (e.g. lack of planning, β = 0.18–0.20) among college students (Riley et al., Reference Riley, Davis, Milich and Smith2018). However, some studies only found associations between individual waves (Littlefield et al., Reference Littlefield, Sher and Steinley2010a) or for specific SU measures (Malmberg et al., Reference Malmberg, Kleinjan, Overbeek, Vermulst, Lammers and Engels2013).

Five of 5 studies found that nicotine use was associated with increases in impulsivity (Littlefield & Sher, Reference Littlefield and Sher2012; Malmberg et al., Reference Malmberg, Kleinjan, Overbeek, Vermulst, Lammers and Engels2013; Mathijssen et al., Reference Mathijssen, Rozema, Hiemstra, Jansen and van Oers2021; Quinn & Harden, Reference Quinn and Harden2013; Wright & Jackson, Reference Wright and Jackson2022), and 3 of 4 studies found that nicotine use was associated with increases in sensation seeking (Malmberg et al., Reference Malmberg, Kleinjan, Overbeek, Vermulst, Lammers and Engels2013; Mathijssen et al., Reference Mathijssen, Rozema, Hiemstra, Jansen and van Oers2021; Wright & Jackson, Reference Wright and Jackson2022) in adolescents.

For cannabis use, Quinn and Harden (Reference Quinn and Harden2013) found increases in impulsivity but not sensation seeking from age 15 to 25, consistent with Wright and Jackson (Reference Wright and Jackson2022). De Win et al. (Reference De Win, Schilt, Reneman, Vervaeke, Jager, Dijkink and van den Brink2006) found that higher ecstasy use was linked to increases in sensation seeking but not impulsivity. Wright and Jackson (Reference Wright and Jackson2022) found that impulsivity and sensation seeking increased more strongly in adolescent cocaine users v. non-users. In summary, several studies suggest that SU relates to increases in impulsivity and sensation seeking, especially in adolescents and young adults.

Self-esteem and related traits (4 studies)

Stein et al. (Reference Stein, Newcomb and Bentler1987) found that alcohol use was associated with increases in one facet of self-esteem in women, while Kroencke et al. (Reference Kroencke, Kuper, Bleidorn and Denissen2021) and Wright and Jackson (Reference Wright and Jackson2022) found no such association. Wright and Jackson (Reference Wright and Jackson2022) found that self-esteem increased less consistently during adolescence in smokers v. non-smokers, whereas 2 studies found no significant association (Kroencke et al., Reference Kroencke, Kuper, Bleidorn and Denissen2021; Stein et al., Reference Stein, Newcomb and Bentler1987). Moreover, self-esteem increased less consistently in adolescent users (Wright & Jackson, Reference Wright and Jackson2022) and decreased in adult users (Kroencke et al., Reference Kroencke, Kuper, Bleidorn and Denissen2021) of sedatives/downers, whereas Stein et al. (Reference Stein, Newcomb and Bentler1987) reported increases in one facet of self-esteem in young adults, although not differentiating between types of drugs. Taken together, previous research suggests no consistent association between SU and changes in self-esteem.

Other (4 studies)

Other studies investigated traits such as identity status (De Moor, Sijtsema, Weller, & Klimstra, Reference De Moor, Sijtsema, Weller and Klimstra2022), cognitive structure (Labouvie & McGee, Reference Labouvie and McGee1986), autonomy (Labouvie & McGee, Reference Labouvie and McGee1986; Quinn, Stappenbeck, & Fromme, Reference Quinn, Stappenbeck and Fromme2011), or psychosocial maturity (Chassin et al., Reference Chassin, Dmitrieva, Modecki, Steinberg, Cauffman, Piquero and Losoya2010). For instance, in adolescent juvenile offenders, Chassin et al. (Reference Chassin, Dmitrieva, Modecki, Steinberg, Cauffman, Piquero and Losoya2010) found higher alcohol/cannabis use being associated with decreasing psychosocial maturity (β = −0.03/–0.05).

Directionality and within-person changes

Most observational studies investigating the directionality of change (online Supplementary Table S4) yielded bidirectional associations between SU and personality change. However, there was slightly more evidence for personality predicting subsequent changes in SU than for SU predicting subsequent personality changes. Studies that modeled between-person v. within-person effects evidenced within-person increases in impulsivity with higher/increasing SU (in college students) (Riley et al., Reference Riley, Davis, Milich and Smith2018) but found little evidence for associations between SU and within-person changes in the Big Five (Jokela et al., Reference Jokela, Airaksinen, Kivimäki and Hakulinen2018; Kroencke et al., Reference Kroencke, Kuper, Bleidorn and Denissen2021) (in adults of all ages).

Intervention studies

Samples

Sample sizes in the intervention studies varied from 28 to 798. In contrast to the observational studies, the samples of the intervention studies mostly consisted of patients with (sub-)threshold SUD undergoing treatment. Only 3 studies examined non-clinical student samples (Kazemi, Levine, Dmochowski, Angbing, & Shou, Reference Kazemi, Levine, Dmochowski, Angbing and Shou2014; Winkleby, Feighery, Altman, Kole, & Tencati, Reference Winkleby, Feighery, Altman, Kole and Tencati2001, Reference Winkleby, Feighery, Dunn, Kole, Ahn and Killen2004).

Study designs

Assessment periods of the intervention studies ranged from four weeks to considerably longer timeframes up to 15 months post-intervention. Most studies were based on 3 or 4 waves and were conducted without control conditions. Only 4 studies used a randomized controlled design (RCT) (Bayır & Aylaz, Reference Bayır and Aylaz2021; Kayaoğlu & Şahin Altun, Reference Kayaoğlu and Şahin Altun2022; Nurco et al., Reference Nurco, Primm, Lerner, Stephenson, Brown and Ajuluchukwu1995; Winkleby et al., Reference Winkleby, Feighery, Altman, Kole and Tencati2001), one study used a randomized design (Stieger, Allemand, Roberts, & Davis, Reference Stieger, Allemand, Roberts and Davis2022), 2 studies used a non-randomized control-group design (Can Gür & Okanli, Reference Can Gür and Okanli2019; Gonçalves et al., Reference Gonçalves, Ometto, Bechara, Malbergier, Amaral, Nicastri and Cunha2014), and one study used matched control groups (Oei & Jackson, Reference Oei and Jackson1980).

Substances

Of the 17 intervention studies, 4 focused on alcohol use, one focused on nicotine use, one focused on heavy use of opioids, cocaine, and heroin, respectively, and nine were intervention studies that focused on treatment programs for heavy SU of various kinds and did not test for substance-specific effects. Indicators of SU(D) and personality that were considered in these studies are described in online Supplementary Table S2.

Interventions

The studies encompassed various treatments, such as individual- and group-based cognitive-behavioral therapy and 12-step facilitation approaches to recovery (adapted from Alcoholics/Narcotics Anonymous) (Aklin, Tull, Kahler, & Lejuez, Reference Aklin, Tull, Kahler and Lejuez2009; Blonigen & Macia, Reference Blonigen and Macia2021; Can Gür & Okanli, Reference Can Gür and Okanli2019; Chodkiewicz & Gruszczyńska, Reference Chodkiewicz and Gruszczyńska2019; Kayaoğlu & Şahin Altun, Reference Kayaoğlu and Şahin Altun2022; Littlefield et al., Reference Littlefield, Stevens, Cunningham, Jones, King, Schumacher and Coffey2015; Stieger et al., Reference Stieger, Allemand, Roberts and Davis2022), motivational interventions (Gonçalves et al., Reference Gonçalves, Ometto, Bechara, Malbergier, Amaral, Nicastri and Cunha2014; Kazemi et al., Reference Kazemi, Levine, Dmochowski, Angbing and Shou2014), mindfulness-based interventions (Bayır & Aylaz, Reference Bayır and Aylaz2021; Stieger et al., Reference Stieger, Allemand, Roberts and Davis2022), but also less usual interventions such as motivational chess (Gonçalves et al., Reference Gonçalves, Ometto, Bechara, Malbergier, Amaral, Nicastri and Cunha2014), music (Kayaoğlu & Şahin Altun, Reference Kayaoğlu and Şahin Altun2022), or advocacy training for students (Winkleby et al., Reference Winkleby, Feighery, Altman, Kole and Tencati2001; Reference Winkleby, Feighery, Dunn, Kole, Ahn and Killen2004). Durations of the interventions ranged from 4 to 25 weeks.

Extraversion-related traits (6 studies)

Two studies found that extraversion increased from admission to 19-week follow-up in patients from an opioid treatment clinic using agonist medication and behavioral interventions (Carter et al., Reference Carter, Herbst, Stoller, van King, Kidorf, Costa and Brooner2001) and from pre-treatment to 12-month follow-up in patients from a residential alcohol treatment program using social skills training and supportive therapy (Oei & Jackson, Reference Oei and Jackson1980).

Three studies found that extraversion increased in SUD patients receiving cognitive behavioral therapy (CBT) and other multimodal interventions only from pre- to post-treatment, but not until 6-month (Stieger et al., Reference Stieger, Allemand, Roberts and Davis2022), 12-month (Blonigen & Macia, Reference Blonigen and Macia2021), or 15-month follow-up (Piedmont, Reference Piedmont2001). One study found no changes in extraversion in relation to SUD treatment (Borman et al., Reference Borman, Zilberman, Tavares, Surís, El-Guebaly and Foster2006). In summary, there is some evidence for increases in extraversion in SUD patients during treatment that, however, are not sustained in the long term.

Neuroticism-related traits (6 studies)

All studies found decreases in neuroticism-related traits in relation to different SU(D) interventions (e.g. CBT, motivation intervention program, social skills training) and settings (e.g. outpatient (Carter et al., Reference Carter, Herbst, Stoller, van King, Kidorf, Costa and Brooner2001; Piedmont, Reference Piedmont2001), inpatient (Blonigen & Macia, Reference Blonigen and Macia2021; Borman et al., Reference Borman, Zilberman, Tavares, Surís, El-Guebaly and Foster2006; Oei & Jackson, Reference Oei and Jackson1980), university (Kazemi et al., Reference Kazemi, Levine, Dmochowski, Angbing and Shou2014)). Lower levels of neuroticism-related traits were maintained up to 15 months post-treatment (d = 0.28 mean Big Five change) (Piedmont, Reference Piedmont2001). Social skills training was associated with greater decreases in neuroticism than supportive therapy in alcohol use patients (Oei & Jackson, Reference Oei and Jackson1980). Taken together, the evidence suggests that SU(D) interventions are associated with sustained reductions in neuroticism.

Openness-related traits (4 studies)

Two studies found increases in openness-related traits in SUD patients from pre- to post-treatment (i.e. CBT and comprehensive multimodal interventions) that, however, were not maintained until 6-month (Stieger et al., Reference Stieger, Allemand, Roberts and Davis2022) and 15-month (Piedmont, Reference Piedmont2001) follow-up. Conversely, no changes in openness-related traits were found in relation to multimodal (Borman et al., Reference Borman, Zilberman, Tavares, Surís, El-Guebaly and Foster2006) and opioid (Carter et al., Reference Carter, Herbst, Stoller, van King, Kidorf, Costa and Brooner2001) treatment. Thus, previous evidence suggests no lasting changes in openness-related traits following SUD treatment.

Conscientiousness-related traits (5 studies)

Four studies found lasting increases (up to 15-month follow-up) in conscientiousness (Carter et al., Reference Carter, Herbst, Stoller, van King, Kidorf, Costa and Brooner2001; Piedmont, Reference Piedmont2001; Stieger et al., Reference Stieger, Allemand, Roberts and Davis2022) and constraint (Blonigen & Macia, Reference Blonigen and Macia2021) in relation to (cognitive) behavioral approaches (e.g. d = 0.37 from pre- to post-treatment in Stieger et al., Reference Stieger, Allemand, Roberts and Davis2022). In contrast, Borman et al. (Reference Borman, Zilberman, Tavares, Surís, El-Guebaly and Foster2006) found no significant changes in conscientiousness and persistence but increases in self-directedness from admission to 6-month follow-up in an intervention focusing on physical, emotional, social, and spiritual factors. Taken together, there is initial evidence that cognitive-behavioral SUD treatment relates to increases in conscientiousness-related traits.

Agreeableness-related traits (4 studies)

One study found increases in agreeableness in SUD patients up to 6-month follow-up (Piedmont, Reference Piedmont2001), another found increases from pre- to post-treatment, but this effect disappeared at 6-month follow-up (Stieger et al., Reference Stieger, Allemand, Roberts and Davis2022). Two studies found no significant changes in agreeableness-related traits related to SUD treatment (Borman et al., Reference Borman, Zilberman, Tavares, Surís, El-Guebaly and Foster2006; Carter et al., Reference Carter, Herbst, Stoller, van King, Kidorf, Costa and Brooner2001). The evidence provides little support for lasting increases in agreeableness following SUD treatment.

Impulsivity-related traits (4 studies)

Kazemi et al. (Reference Kazemi, Levine, Dmochowski, Angbing and Shou2014) found a decrease in impulsivity among university students who participated in an alcohol intervention to motivate change in drinking behavior (either mandated or voluntarily) from baseline to 6-month follow-up, including booster sessions. In inpatient multimodal SU treatments, Littlefield et al. (Reference Littlefield, Stevens, Cunningham, Jones, King, Schumacher and Coffey2015) found decreases in some facets of impulsivity, while Aklin et al. (Reference Aklin, Tull, Kahler and Lejuez2009) found no significant changes in impulsivity but decreases in risk taking, both after 4 weeks of intervention. Gonçalves et al. (Reference Gonçalves, Ometto, Bechara, Malbergier, Amaral, Nicastri and Cunha2014) found no changes in impulsivity following a 4-week motivational interviewing and chess intervention for cocaine users in a psychiatric clinic. For sensation seeking, no significant changes in relation to SUD treatment were found (Kazemi et al., Reference Kazemi, Levine, Dmochowski, Angbing and Shou2014; Littlefield et al., Reference Littlefield, Stevens, Cunningham, Jones, King, Schumacher and Coffey2015). These results provide some, but inconsistent evidence for decreases in impulsivity-related traits in relation to SU(D) interventions.

Self-efficacy and related traits (7 studies)

Only studies that focus on general (but not domain-specific) self-efficacy are considered, as the focus of this review is on major personality traits. RCTs in SUD patients found that clinically guided self-help plus standard treatment (i.e. methadone maintenance and counselling) (Nurco et al., Reference Nurco, Primm, Lerner, Stephenson, Brown and Ajuluchukwu1995), mindfulness-based psychoeducation (Bayır & Aylaz, Reference Bayır and Aylaz2021), CBT with music intervention (Kayaoğlu & Şahin Altun, Reference Kayaoğlu and Şahin Altun2022), and advocacy training to reduce smoking in university students (Winkleby et al., Reference Winkleby, Feighery, Dunn, Kole, Ahn and Killen2004) led to increases in self-efficacy (or changes from external to internal locus of control, Nurco et al., Reference Nurco, Primm, Lerner, Stephenson, Brown and Ajuluchukwu1995). Two studies without a randomized controlled design also found that self-efficacy increased in university students following an advocacy intervention to reduce smoking (Winkleby et al., Reference Winkleby, Feighery, Altman, Kole and Tencati2001) and in alcohol use patients from pre- to post-treatment (i.e. CBT plus exercise incentives) but not to 4- or 6-month follow-up (Can Gür & Okanli, Reference Can Gür and Okanli2019). One study found no changes in self-efficacy after 6-week CBT (Chodkiewicz & Gruszczyńska, Reference Chodkiewicz and Gruszczyńska2019). Taken together, these findings suggest that most SU(D) interventions increase self-efficacy.

Other (3 studies)

Other personality-like traits investigated in the context of SU(D) interventions were reward dependence (Borman et al., Reference Borman, Zilberman, Tavares, Surís, El-Guebaly and Foster2006), psychoticism (Oei & Jackson, Reference Oei and Jackson1980), or resilience (Stieger et al., Reference Stieger, Allemand, Roberts and Davis2022). For instance, Stieger et al. (Reference Stieger, Allemand, Roberts and Davis2022) found that SUD patients exhibited increases in trait resilience up to 6 months after CBT.

Discussion

This systematic review synthesized existing evidence on personality changes associated with SU(D). In observational studies, higher or increasing SU was most consistently linked to increases in impulsivity, sensation seeking (to a lesser extent), and less consistently neuroticism and related traits. SU(D) interventions were linked to decreases in neuroticism, which is consistent with meta-analytic findings that psychological interventions were related to reductions in neuroticism (Roberts et al., Reference Roberts, Luo, Briley, Chow, Su and Hill2017). For impulsivity and sensation seeking, there was only weak support for intervention-related changes. However, intervention studies provided support for initial increases in self-efficacy and sustained increases in conscientiousness with treatment/amelioration of SU(D), whereas observational studies provided no consistent evidence for changes in self-esteem and suggested that only severe SU may be linked to decreases in conscientiousness. For traits related to extraversion, agreeableness, and openness, findings were inconsistent and rather weak in both types of studies, as discussed below.

Differences in findings might be due to differences in personality and SU measures, samples, and study designs, often referring to different age groups (see online Supplementary Table S5). Some studies suggest that developmental factors play an important role, such that certain SU-related personality changes especially occur in younger individuals. For example, positive associations between alcohol/cannabis use and openness-related traits were restricted to younger individuals, and nicotine use was associated with increased impulsivity in adolescents but not in young adults, consistent with findings that differences in impulsivity between non-clinical adolescent users and non-users did not persist into adulthood (Wright & Jackson, Reference Wright and Jackson2022). Furthermore, the personality trait, the severity of SU(D), and the context are important. For example, alcohol use has been associated with higher levels of extraversion particularly in the college context (Alexander, Howard, & Maggs, Reference Alexander, Howard and Maggs2022), but it is possible that increases in extraversion are only found when considering the frequency of (binge) drinking (e.g. at student parties) (Klimstra et al., Reference Klimstra, Luyckx, Hale and Goossens2014) rather than negative consequences and SUD symptoms (Littlefield et al., Reference Littlefield, Sher and Wood2009, Reference Littlefield, Sher and Wood2010b). Conversely, the evidence for a negative link between SU and changes in conscientiousness-related traits is most consistent when studies examine symptoms of SUD (e.g. Hicks et al. Reference Hicks, Durbin, Blonigen, Iacono and McGue2012; Littlefield et al. Reference Littlefield, Sher and Wood2010b; Samek et al. Reference Samek, Hicks, Durbin, Hinnant, Iacono and McGue2018) rather than just frequency of SU. We also identified a gap in research: observational studies in adolescents have almost exclusively investigated changes in impulsivity and sensation seeking, whereas studies in (middle-aged) adults have almost exclusively examined change in the Big Five. Thus, future research in the context of SU may additionally focus on changes in the Big Five during adolescence.

Regarding bidirectional associations between SU and personality, observational studies provided slightly more evidence for personality predicting changes in SU (vulnerability model) than for SU predicting changes in personality (scar model), but these effects were rarely directly compared. Consistent with the transactional model, almost all studies reported (at least some) associations in both directions, highlighting that SU and personality are closely intertwined: Certain personality trait levels (e.g. high impulsivity) predispose to increased SU (selection effects). At the same time, increasing SU accentuates these trait levels over time, leading to a vicious cycle of SU and associated (personality) problems (socialization effects).

Intervention studies found that neuroticism decreased during SU(D) treatment, while other personality changes varied by type of intervention. Extraversion increased with social skills training, while conscientiousness, agreeableness, and self-efficacy increased with cognitive-behavioral interventions that focused on stress coping and regaining control over SU. Consistent with this idea, Littlefield et al. (Reference Littlefield, Sher and Wood2010b) found that more functional coping mediated the association between decreases in SU and increases in conscientiousness. Personality changes were often not maintained until follow-up, highlighting the need for additional booster sessions after treatment. However, only 4 studies were based on randomized controlled designs, so there is limited causal evidence that SU(D) interventions induce personality changes.

Most observational studies focused on the frequency and intensity of SU without assessing diagnostic criteria for full-threshold SUD (but see Hicks et al., Reference Hicks, Durbin, Blonigen, Iacono and McGue2012; Östlund et al., Reference Östlund, Hensing, Sundh and Spak2007; Samek et al., Reference Samek, Hicks, Durbin, Hinnant, Iacono and McGue2018). Thus, they refer only to personality changes related to more (or less) frequent SU regardless of clinical features. The intervention studies mostly focused on individuals with full-threshold SUD but did not directly assess whether changes in SU(D) were related to personality changes. That is, there is little (direct) evidence on personality changes before, during, and after onset or remission of SU(D) or in relation to specific clinical features, as specified by our research questions. In general, the studies included in this review were highly heterogeneous in terms of measures, samples, study designs, and statistical approaches (see also online Supplementary Table S5).

Because individual substances (e.g. sedatives v. stimulants) have different physiological effects, substance-specific personality changes are plausible. At the same time, SU-related personality changes may be due to general processes associated with heavy use (e.g. craving and withdrawal) independent of a particular drug (Chen, Reference Chen2022). Observational studies found that personality changes varied by substance, but rarely focused on full-threshold SUD. Intervention studies focused on SUD but rarely distinguished between substances, highlighting the need for future research in this field.

To the best of our knowledge, this review provides the first comprehensive aggregation and systematic synthesis of evidence on SU(D)-related personality changes. However, it is not without limitations: First, our focus was on clinically relevant SU(D). However, because most studies focused on SU frequency and intensity irrespective of SUD, it was virtually impossible to analyze associations with specific clinical features and diagnostic transitions (e.g. onset and remission of SUD). At the same time, this limitation could be considered a strength given the increasing importance of dimensional approaches in clinical psychology (Kotov et al., Reference Kotov, Krueger, Watson, Cicero, Conway, DeYoung and Wright2021; Krueger et al., Reference Krueger, Hobbs, Conway, Dick, Dretsch, Eaton and Kotov2021). Second, we only included peer-reviewed studies published in English or German, potentially limiting generalizability.

Conclusions

In observational studies, SU(D) was most consistently related to increases in impulsivity-related traits. In intervention studies, decreases in SU(D) were linked to decreases in neuroticism-related traits and increases in conscientiousness and self-efficacy, although the available literature was sparse. Associations between SU(D) and other personality traits varied by substance and developmental stage. Overall, studies were highly heterogeneous in measures, samples, study designs, and statistical approaches. Future meta-analyses may investigate whether and how changes in specific personality traits vary by substance and different indicators of SU(D) (e.g. frequency of use v. clinical features). Practitioners may particularly target traits related to impulsivity, neuroticism, conscientiousness, and self-efficacy to treat but also prevent SU(D). Tailored interventions based on personality information, such as the PreVenture program (Debenham et al., Reference Debenham, Grummitt, Newton, Teesson, Slade, Conrod and Kelly2021; Newton et al., Reference Newton, Debenham, Slade, Smout, Grummitt, Sunderland and Stapinski2022), have been shown to be effective, and could be implemented on a larger scale.

Preregistration statement

This systematic review was preregistered in the PROSPERO Systematic Reviews Database (CRD42022370973).

Supplementary material

The supplementary material for this article can be found at https://doi.org/10.1017/S003329172400093X.

Data availability

No datasets were generated or analyzed for the current study.

Funding statement

This research received no specific grant from any funding agency, commercial or not-for-profit sectors.

Competing interests

None.

Footnotes

*

these authors should be considered joint first author.

References

Aklin, W. M., Tull, M. T., Kahler, C. W., & Lejuez, C. W. (2009). Risk-taking propensity changes throughout the course of residential substance abuse treatment. Personality and Individual Differences, 46(4), 454459. https://doi.org/10.1016/j.paid.2008.11.018CrossRefGoogle ScholarPubMed
Alexander, S. M., Howard, A. L., & Maggs, J. L. (2022). Personality and alcohol use across college: Examining context-dependent pathways toward alcohol problems. Substance Use & Misuse, 57(9), 14501461. https://doi.org/10.1080/10826084.2022.2091146CrossRefGoogle ScholarPubMed
Allen, M. S., Vella, S. A., & Laborde, S. (2015). Health-related behaviour and personality trait development in adulthood. Journal of Research in Personality, 59, 104110.CrossRefGoogle Scholar
Ashenhurst, J. R., Harden, K. P., Corbin, W. R., & Fromme, K. (2015). Trajectories of binge drinking and personality change across emerging adulthood. Psychology of Addictive Behaviors, 29(4), 978.CrossRefGoogle ScholarPubMed
Bayır, B., & Aylaz, R. (2021). The effect of mindfulness-based education given to individuals with substance-use disorder according to self-efficacy theory on self-efficacy perception. Applied Nursing Research, 57, 151354. https://doi.org/10.1016/j.apnr.2020.151354CrossRefGoogle ScholarPubMed
Bleidorn, W., Hopwood, C. J., & Lucas, R. E. (2018). Life events and personality trait change. Journal of Personality, 86(1), 8396.CrossRefGoogle ScholarPubMed
Blonigen, D. M., Durbin, C. E., Hicks, B. M., Johnson, W., McGue, M., & Iacono, W. G. (2015). Alcohol use initiation is associated with changes in personality trait trajectories from early adolescence to young adulthood. Alcoholism: Clinical and Experimental Research, 39(11), 21632170. https://doi.org/10.1111/acer.12878CrossRefGoogle ScholarPubMed
Blonigen, D. M., & Macia, K. S. (2021). Personality change during substance use disorder treatment is associated with improvements in abstinence self-efficacy post-treatment among US military veterans. Journal of Substance Abuse Treatment, 120, 108187.CrossRefGoogle Scholar
Borman, P. D., Zilberman, M. L., Tavares, H., Surís, A. M., El-Guebaly, N., & Foster, B. (2006). Personality changes in women recovering from substance-related dependence. Journal of Addictive Diseases, 25(4), 5966.CrossRefGoogle ScholarPubMed
Can Gür, G., & Okanli, A. (2019). The effects of cognitive-behavioral model-based intervention on depression, anxiety, and self-efficacy in alcohol use disorder. Clinical Nursing Research, 28(1), 5278. https://doi.org/10.1177/1054773817722688CrossRefGoogle ScholarPubMed
Carter, J. A., Herbst, J. H., Stoller, K. B., van King, L., Kidorf, M. S., Costa, P. T. Jr, & Brooner, R. K. (2001). Short-term stability of NEO–PI–R personality trait scores in opioid-dependent outpatients. Psychology of Addictive Behaviors, 15(3), 255.CrossRefGoogle ScholarPubMed
Chassin, L., Dmitrieva, J., Modecki, K., Steinberg, L., Cauffman, E., Piquero, A. R., … Losoya, S. H. (2010). Does adolescent alcohol and marijuana use predict suppressed growth in psychosocial maturity among male juvenile offenders? Psychology of Addictive Behaviors, 24(1), 4860. https://doi.org/10.1037/a0017692CrossRefGoogle ScholarPubMed
Chen, G. (2022). The role of acceptance and change in recovery from substance use disorders. Journal of Psychoactive Drugs, 54(4), 340347.CrossRefGoogle ScholarPubMed
Chodkiewicz, J., & Gruszczyńska, E. (2019). Changes in well-being, self-efficacy, and coping strategies during residential treatment of alcohol-addicted patients. Roczniki Psychologiczne, 16(1), 85105.Google Scholar
Choi, M., Driver, M. N., Balcke, E., Saunders, T., Langberg, J. M., & Dick, D. M. (2023). Bridging the gap between genetic epidemiological research and prevention: A randomized control trial of a novel personalized feedback program for alcohol and cannabis use. Drug and Alcohol Dependence, 249, 110818. https://doi.org/10.1016/j.drugalcdep.2023.110818CrossRefGoogle Scholar
Connor-Smith, J. K., & Flachsbart, C. (2007). Relations between personality and coping: A meta-analysis. Journal of Personality and Social Psychology, 93(6), 10801107. https://doi.org/10.1037/0022-3514.93.6.1080CrossRefGoogle ScholarPubMed
Conrod, P. J. (2019). A review of personality-targeted interventions for prevention of substance misuse and related harm in community samples of adolescents.Google Scholar
Dash, G. F., Martin, N. G., & Slutske, W. S. (2023). Big five personality traits and illicit drug use: Specificity in trait-drug associations. Psychology of Addictive Behaviors, 37(2), 318330. https://doi.org/10.1037/adb0000793CrossRefGoogle ScholarPubMed
Dash, G. F., Slutske, W. S., Martin, N. G., Statham, D. J., Agrawal, A., & Lynskey, M. T. (2019). Big five personality traits and alcohol, nicotine, cannabis, and gambling disorder comorbidity. Psychology of Addictive Behaviors, 33(4), 420.CrossRefGoogle ScholarPubMed
De Moor, E. L., Sijtsema, J. J., Weller, J. A., & Klimstra, T. A. (2022). Longitudinal links between identity and substance use in adolescence. Self and Identity, 21(1), 113136. https://doi.org/10.1080/15298868.2020.1818615CrossRefGoogle Scholar
De Win, M. M., Schilt, T., Reneman, L., Vervaeke, H., Jager, G., Dijkink, S., … van den Brink, W. (2006). Ecstasy use and self-reported depression, impulsivity, and sensation seeking: A prospective cohort study. Journal of Psychopharmacology, 20(2), 226235. https://doi.org/10.1177/0269881106063275CrossRefGoogle ScholarPubMed
Debenham, J., Grummitt, L., Newton, N. C. [Nicola Clare], Teesson, M., Slade, T., Conrod, P., & Kelly, E. V. (2021). Personality-targeted prevention for adolescent tobacco use: Three-year outcomes for a randomised trial in Australia. Preventive Medicine, 153, 106794. https://doi.org/10.1016/j.ypmed.2021.106794CrossRefGoogle ScholarPubMed
Denissen, J. J. A., Luhmann, M., Chung, J. M., & Bleidorn, W. (2019). Transactions between life events and personality traits across the adult lifespan. Journal of Personality and Social Psychology, 116(4), 612.CrossRefGoogle ScholarPubMed
Gmel, G., Marmet, S., Studer, J., & Wicki, M. (2020). Are changes in personality traits and alcohol use associated? A cohort study among young Swiss men. Frontiers in Psychiatry, 11, 591003.CrossRefGoogle ScholarPubMed
Gonçalves, P. D., Ometto, M., Bechara, A., Malbergier, A., Amaral, R., Nicastri, S., … Cunha, P. J. (2014). Motivational interviewing combined with chess accelerates improvement in executive functions in cocaine dependent patients: A one-month prospective study. Drug and Alcohol Dependence, 141, 7984. https://doi.org/10.1016/j.drugalcdep.2014.05.006CrossRefGoogle ScholarPubMed
Gowing, L. R., Ali, R. L., Allsop, S., Marsden, J., Turf, E. E., West, R., & Witton, J. (2015). Global statistics on addictive behaviours: 2014 status report. Addiction, 110(6), 904919.CrossRefGoogle ScholarPubMed
Hakulinen, C., & Jokela, M. (2019). Alcohol use and personality trait change: Pooled analysis of six cohort studies. Psychological Medicine, 49(2), 224231. https://doi.org/10.1017/s0033291718000636CrossRefGoogle ScholarPubMed
Hemphälä, M., Kosson, D., Westerman, J., & Hodgins, S. (2015). Stability and predictors of psychopathic traits from mid-adolescence through early adulthood. Scandinavian Journal of Psychology, 56(6), 649658. https://doi.org/10.1111/sjop.12257CrossRefGoogle ScholarPubMed
Hershberger, A. R., Um, M., & Cyders, M. A. (2017). The relationship between the UPPS-P impulsive personality traits and substance use psychotherapy outcomes: A meta-analysis. Drug and Alcohol Dependence, 178, 408416. https://doi.org/10.1016/j.drugalcdep.2017.05.032CrossRefGoogle ScholarPubMed
Hicks, B. M., Durbin, C. E., Blonigen, D. M., Iacono, W. G., & McGue, M. (2012). Relationship between personality change and the onset and course of alcohol dependence in young adulthood. Addiction, 107(3), 540548. https://doi.org/10.1111/j.1360-0443.2011.03617.xCrossRefGoogle ScholarPubMed
Horvath, L. S., Milich, R., Lynam, D., Leukefeld, C., & Clayton, R. (2004). Sensation seeking and substance use: A cross-lagged panel design. Individual Differences Research, 2(3), 175183.Google Scholar
Jokela, M., Airaksinen, J., Kivimäki, M., & Hakulinen, C. (2018). Is within–individual variation in personality traits associated with changes in health behaviours? Analysis of seven longitudinal cohort studies. European Journal of Personality, 32(6), 642652. https://doi.org/10.1002/per.2173CrossRefGoogle Scholar
Kaiser, A. J., Bonsu, J. A., Charnigo, R. J., Milich, R., & Lynam, D. R. (2016). Impulsive personality and alcohol use: Bidirectional relations over one year. Journal of Studies on Alcohol and Drugs, 77(3), 473482. https://doi.org/10.15288/jsad.2016.77.473CrossRefGoogle ScholarPubMed
Kaiser, A. J., Davis, H. A., Milich, R., Smith, G. T., & Charnigo, R. (2018). Bidirectional relations of impulsive personality and alcohol use across three waves of data collection. Substance Use & Misuse, 53(14), 23862393. https://doi.org/10.1080/10826084.2018.1480036CrossRefGoogle ScholarPubMed
Kandler, C., Zimmermann, J., & McAdams, D. P. (2014). Core and surface characteristics for the description and theory of personality differences and development. European Journal of Personality, 28(3), 231243.CrossRefGoogle Scholar
Kayaoğlu, K., & Şahin Altun, Ö (2022). The effect of combined cognitive-behavioral psychoeducation and music intervention on stress, self-efficacy, and relapse rates in patients with alcohol and substance use disorders: A randomized controlled trial. Perspectives in Psychiatric Care, 58(3), 968977. https://doi.org/10.1111/ppc.12884CrossRefGoogle ScholarPubMed
Kazemi, D. M., Levine, M. J., Dmochowski, J., Angbing, I., & Shou, Q. (2014). Personality risk factors and readiness to change in mandated and voluntary college students enrolled in an alcohol intervention program. Substance Use & Misuse, 49(1-2), 154165. https://doi.org/10.3109/10826084.2013.824472CrossRefGoogle Scholar
Klimstra, T. A., Luyckx, K., Hale, W. W., & Goossens, L. (2014). Personality and externalizing behavior in the transition to young adulthood: The additive value of personality facets. Social Psychiatry and Psychiatric Epidemiology, 49(8), 13191333. https://doi.org/10.1007/s00127-014-0827-yCrossRefGoogle ScholarPubMed
Kotov, R., Gamez, W., Schmidt, F., & Watson, D. (2010). Linking “big” personality traits to anxiety, depressive, and substance use disorders: A meta-analysis. Psychological Bulletin, 136(5), 768.CrossRefGoogle ScholarPubMed
Kotov, R., Krueger, R. F., Watson, D., Cicero, D. C., Conway, C. C., DeYoung, C. G., … Wright, A. G. C. (2021). The hierarchical taxonomy of psychopathology (HiTOP): A quantitative nosology based on consensus of evidence. Annual Review of Clinical Psychology, 17, 83108. https://doi.org/10.1146/annurev-clinpsy-081219-093304CrossRefGoogle ScholarPubMed
Kroencke, L., Kuper, N., Bleidorn, W., & Denissen, J. (2021). How does substance use affect personality development? Disentangling between- and within-person effects. Social Psychological and Personality Science, 12(4), 517527. https://doi.org/10.1177/1948550620921702CrossRefGoogle Scholar
Krueger, R. F., Hobbs, K. A., Conway, C. C., Dick, D. M., Dretsch, M. N., Eaton, N. R., … Kotov, R. (2021). Validity and utility of hierarchical taxonomy of psychopathology (HiTOP): Ii. Externalizing superspectrum. World Psychiatry, 20(2), 171193. https://doi.org/10.1002/wps.20844CrossRefGoogle ScholarPubMed
Krueger, R. F., & Tackett, J. L. (2003). Personality and psychopathology: Working toward the bigger picture. Journal of Personality Disorders, 17(2), 109128. https://doi.org/10.1521/pedi.17.2.109.23986CrossRefGoogle ScholarPubMed
Labouvie, E. W., & McGee, C. R. (1986). Relation of personality to alcohol and drug use in adolescence. Journal of Consulting and Clinical Psychology, 54(3), 289293. https://doi.org/10.1037/0022-006x.54.3.289CrossRefGoogle ScholarPubMed
Littlefield, A. K., & Sher, K. J. (2012). Smoking desistance and personality change in emerging and young adulthood. Nicotine & Tobacco Research, 14(3), 338342. https://doi.org/10.1093/ntr/ntr219CrossRefGoogle ScholarPubMed
Littlefield, A. K., Sher, K. J., & Steinley, D. (2010a). Developmental trajectories of impulsivity and their association with alcohol use and related outcomes during emerging and young adulthood I. Alcoholism: Clinical and Experimental Research, 34(8), 14091416. https://doi.org/10.1111/j.1530-0277.2010.01224.xCrossRefGoogle Scholar
Littlefield, A. K., Sher, K. J., & Wood, P. K. (2009). Is “maturing out” of problematic alcohol involvement related to personality change? Journal of Abnormal Psychology, 118(2), 360.CrossRefGoogle Scholar
Littlefield, A. K., Sher, K. J., & Wood, P. K. (2010b). A personality-based description of maturing out of alcohol problems: Extension with a five-factor model and robustness to modeling challenges. Addictive Behaviors, 35(11), 948954.CrossRefGoogle ScholarPubMed
Littlefield, A. K., Stevens, A. K., Cunningham, S., Jones, R. E., King, K. M., Schumacher, J. A., & Coffey, S. F. (2015). Stability and change in multi-method measures of impulsivity across residential addictions treatment. Addictive Behaviors, 42, 126129.CrossRefGoogle ScholarPubMed
Littlefield, A. K., Vergés, A., Wood, P. K., & Sher, K. J. (2012). Transactional models between personality and alcohol involvement: A further examination. Journal of Abnormal Psychology, 121(3), 778.CrossRefGoogle ScholarPubMed
Luchetti, M., Terracciano, A., Stephan, Y., & Sutin, A. R. (2018). Alcohol use and personality change in middle and older adulthood: Findings from the health and retirement study. Journal of Personality, 86(6), 10031016. https://doi.org/10.1111/jopy.12371CrossRefGoogle ScholarPubMed
Malmberg, M., Kleinjan, M., Overbeek, G., Vermulst, A. A., Lammers, J., & Engels, R. C. (2013). Are there reciprocal relationships between substance use risk personality profiles and alcohol or tobacco use in early adolescence? Addictive Behaviors, 38(12), 28512859. https://doi.org/10.1016/j.addbeh.2013.08.003CrossRefGoogle ScholarPubMed
Mathijssen, J. J., Rozema, A. D., Hiemstra, M., Jansen, M. W., & van Oers, J. A. (2021). Stability of and change in substance use risk personality: Gender differences and smoking cigarettes among early adolescents. Addictive Behaviors Reports, 14, 100360.CrossRefGoogle ScholarPubMed
McCrae, R. R., & Costa, P. T., Jr. (2008). Empirical and theoretical status of the five-factor model of personality traits. In Boyle, G. J., Matthews, G., & Saklofske, D. H. (Eds.), The SAGE handbook of personality theory and assessment, Vol. 1. Personality theories and models (pp. 273294). Thousand Oaks, CA: Sage Publications, Inc.CrossRefGoogle Scholar
Nevid, J. S., Gordon, A. J., Miele, A. S., & Keating, L. H. (2020). Personality profiles of individuals with substance use disorders: Historical overview and current directions. Journal of Mental Health & Clinical Psychology, 4(2), 3844.CrossRefGoogle Scholar
Newton, N. C. [Nicola C.], Debenham, J., Slade, T., Smout, A., Grummitt, L., Sunderland, M., … Stapinski, L. (2022). Effect of selective personality-targeted alcohol use prevention on 7-year alcohol-related outcomes among high-risk adolescents: A secondary analysis of a cluster randomized clinical trial. JAMA Network Open, 5(11), e2242544. https://doi.org/10.1001/jamanetworkopen.2022.42544CrossRefGoogle ScholarPubMed
Nurco, D. N., Primm, B. J., Lerner, M., Stephenson, P., Brown, L. S., & Ajuluchukwu, D. C. (1995). Changes in locus-of-control attitudes about drug misuse in a self-help group in a methadone maintenance clinic. International Journal of the Addictions, 30(6), 765778. https://doi.org/10.3109/10826089509048758CrossRefGoogle Scholar
Oei, T. P. S., & Jackson, P. (1980). Long-term effects of group and individual social skills training with alcoholics. Addictive Behaviors, 5(2), 129136.CrossRefGoogle ScholarPubMed
Östlund, A., Hensing, G., Sundh, V., & Spak, F. (2007). Changes in some personality traits after recovery from alcohol dependence/abuse, anxiety and depression – results of a 5-year follow-up in a general population sample of women. Nordic Journal of Psychiatry, 61(4), 279287. https://doi.org/10.1080/08039480701415111CrossRefGoogle Scholar
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., … Brennan, S. E. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. International Journal of Surgery, 88, 105906.CrossRefGoogle ScholarPubMed
Piedmont, R. L. (2001). Cracking the plaster cast: Big five personality change during intensive outpatient counseling. Journal of Research in Personality, 35(4), 500520.CrossRefGoogle Scholar
Quinn, P. D., & Harden, K. P. (2013). Differential changes in impulsivity and sensation seeking and the escalation of substance use from adolescence to early adulthood. Development and Psychopathology, 25(1), 223239. https://doi.org/10.1017/s0954579412000284CrossRefGoogle ScholarPubMed
Quinn, P. D., Stappenbeck, C. A., & Fromme, K. (2011). Collegiate heavy drinking prospectively predicts change in sensation seeking and impulsivity. Journal of Abnormal Psychology, 120(3), 543556. https://doi.org/10.1037/a0023159CrossRefGoogle ScholarPubMed
Riley, E. N., Davis, H. A., Milich, R., & Smith, G. T. (2018). Heavy, problematic college drinking predicts increases in impulsivity. Journal of Studies on Alcohol and Drugs, 79(5), 790798. https://doi.org/10.15288/jsad.2018.79.790CrossRefGoogle ScholarPubMed
Robert, G. H., Luo, Q., Yu, T., Chu, C., Ing, A., Jia, T., … Schumann, G. (2020). Association of gray matter and personality development with increased drunkenness frequency during adolescence. JAMA Psychiatry, 77(4), 409. https://doi.org/10.1001/jamapsychiatry.2019.4063CrossRefGoogle ScholarPubMed
Roberts, B. W., & Bogg, T. (2004). A longitudinal study of the relationships between conscientiousness and the social-environmental factors and substance-use behaviors that influence health. Journal of Personality, 72(2), 325354. https://doi.org/10.1111/j.0022-3506.2004.00264.xCrossRefGoogle ScholarPubMed
Roberts, B. W., Luo, J., Briley, D. A., Chow, P. I., Su, R., & Hill, P. L. (2017). A systematic review of personality trait change through intervention. Psychological Bulletin, 143(2), 117.CrossRefGoogle ScholarPubMed
Robinson, S. M., & Adinoff, B. (2016). The classification of substance use disorders: Historical, contextual, and conceptual considerations. Behavioral Sciences, 6(3), 18. https://doi.org/10.3390/bs6030018CrossRefGoogle ScholarPubMed
Samek, D. R., Hicks, B. M., Durbin, E., Hinnant, J. B., Iacono, W. G., & McGue, M. (2018). Codevelopment between key personality traits and alcohol use disorder from adolescence through young adulthood. Journal of Personality, 86(2), 261282. https://doi.org/10.1111/jopy.12311CrossRefGoogle ScholarPubMed
Sher, K. J., Bartholow, B. D., & Wood, M. D. (2000). Personality and substance use disorders: A prospective study. Journal of Consulting and Clinical Psychology, 68(5), 818.CrossRefGoogle ScholarPubMed
Siddaway, A. P., Wood, A. M., & Hedges, L. V. (2019). How to do a systematic review: A best practice guide for conducting and reporting narrative reviews, meta-analyses, and meta-syntheses. Annual Review of Psychology, 70(1), 747770. https://doi.org/10.1146/annurev-psych-010418-102803CrossRefGoogle Scholar
Stein, J. A., Newcomb, M. D., & Bentler, P. M. (1987). Personality and drug use: Reciprocal effects across four years. Personality and Individual Differences, 8(3), 419430.CrossRefGoogle Scholar
Stephan, Y., Sutin, A. R., Luchetti, M., Caille, P., & Terracciano, A. (2019). Cigarette smoking and personality change across adulthood: Findings from five longitudinal samples. Journal of Research in Personality, 81, 187194. https://doi.org/10.1016/j.jrp.2019.06.006CrossRefGoogle Scholar
Stieger, M., Allemand, M., Roberts, B. W., & Davis, J. P. (2022). Mindful of personality trait change: Are treatment effects on personality trait change ephemeral and attributable to changes in states? Journal of Personality, 90(3), 375392.CrossRefGoogle ScholarPubMed
Strickhouser, J. E., Zell, E., & Krizan, Z. (2017). Does personality predict health and well-being? A metasynthesis. Health Psychology, 36(8), 797810. https://doi.org/10.1037/hea0000475CrossRefGoogle ScholarPubMed
Turiano, N. A., Whiteman, S. D., Hampson, S. E., Roberts, B. W., & Mroczek, D. K. (2012). Personality and substance use in midlife: Conscientiousness as a moderator and the effects of trait change. Journal of Research in Personality, 46(3), 295305. https://doi.org/10.1016/j.jrp.2012.02.009CrossRefGoogle ScholarPubMed
Welch, D., & Poulton, R. (2009). Personality influences on change in smoking behavior. Health Psychology: Official Journal of the Division of Health Psychology, American Psychological Association, 28(3), 292299. https://doi.org/10.1037/a0013471CrossRefGoogle ScholarPubMed
Whelan, R., Watts, R., Orr, C. A., Althoff, R. R., Artiges, E., Banaschewski, T., … Garavan, H. (2014). Neuropsychosocial profiles of current and future adolescent alcohol misusers. Nature, 512(7513), 185189. https://doi.org/10.1038/nature13402CrossRefGoogle ScholarPubMed
White, H. R., Marmorstein, N. R., Crews, F. T., Bates, M. E., Mun, E-Y, & Loeber, R. (2011). Associations between heavy drinking and changes in impulsive behavior among adolescent boys. Alcoholism, Clinical and Experimental Research, 35(2), 295303. https://doi.org/10.1111/j.1530-0277.2010.01345.xCrossRefGoogle ScholarPubMed
Whiteside, S. P., & Lynam, D. R. (2009). Understanding the role of impulsivity and externalizing psychopathology in alcohol abuse: Application of the UPPS impulsive behavior scale. Personality Disorders: Theory, Research, and Treatment, S(1), 6979. https://doi.org/10.1037/1949-2715.S.1.69CrossRefGoogle Scholar
Winkleby, M. A., Feighery, E. C., Altman, D. A., Kole, S. [S.], & Tencati, E. (2001). Engaging ethnically diverse teens in a substance use prevention advocacy program. American Journal of Health Promotion : AJHP, 15(6), 433436, ii. https://doi.org/10.4278/0890-1171-15.6.433CrossRefGoogle Scholar
Winkleby, M. A., Feighery, E., Dunn, M., Kole, S. [Sara], Ahn, D., & Killen, J. D. (2004). Effects of an advocacy intervention to reduce smoking among teenagers. Archives of Pediatrics & Adolescent Medicine, 158(3), 269275. https://doi.org/10.1001/archpedi.158.3.269CrossRefGoogle ScholarPubMed
Wittchen, H-U, Knappe, S., Andersson, G., Araya, R., Banos Rivera, R. M., Barkham, M., … Berking, M. (2014). The need for a behavioural science focus in research on mental health and mental disorders. International Journal of Methods in Psychiatric Research, 23(S1), 2840.CrossRefGoogle ScholarPubMed
Wright, A. J., & Jackson, J. J. (2022). Initiation of drug and alcohol use and personality development during adolescence. European Journal of Personality, 37(4), 375401. https://doi.org/10.1177/08902070221090107CrossRefGoogle Scholar
Wrzus, C., & Roberts, B. W. (2017). Processes of personality development in adulthood: The TESSERA framework. Personality and Social Psychology Review, 21(3), 253277.CrossRefGoogle ScholarPubMed
Zuckerman, M. (2000). Diathesis-stress models. In Zuckerman, M. (Ed.), Vulnerability to psychopathology: A biosocial model (2nd ed., pp. 323). Washington, D.C., [etc.]: American Psychological Association. https://doi.org/10.1037/10316-001Google Scholar
Figure 0

Figure 1. PRISMA flow diagram.

Figure 1

Table 1. Observational population-based studies

Figure 2

Table 2. Intervention studies

Supplementary material: PDF

Juchem et al. supplementary material

Juchem et al. supplementary material

Download Juchem et al. supplementary material(PDF)
PDF 399.4 KB